Delivering Enhanced Through-Life Nuclear Asset Management

Lead Research Organisation: University of Strathclyde
Department Name: Electronic and Electrical Engineering

Abstract

Nuclear engineering has returned to the forefront of UK industrial attention with an unprecedented government economic infrastructure spend programme not seen for over 50 years. The combined life extension and new build programmes in Civil Nuclear, running in parallel with life extension and new build in submarine nuclear programmes places a significant demand on an area of engineering already dealing with a National and International skills shortage. Existing and new assets in both civil and naval sectors are important as civil nuclear power accounts for 21% of the UK's electrical generation and nuclear submarines provide the UK's independent continuous at-sea nuclear deterrent. A strategic partnership comprising Babcock International Group, BAM Nutall, Bruce Power, EDF-Energy, Kinectrics, The Weir Group and the University of Strathclyde will establish a nationally significant research programme to increase capability and multidisciplinary expertise focussed on enhanced through-life nuclear asset management.
The overall aim of the partnership is two-fold. First, the drive is to create new knowledge and understanding to underpin the operational management/maintenance of existing infrastructure and to improve understanding and knowledge of lifetime and degradation processes. This will significantly increase the life of existing assets, minimise operational risk and reduce through life costs. Second, this novel knowledge can then be fed into the development of the next generation of nuclear plants and equipment, and hence translate these breakthroughs into the design and build of future nuclear assets. In doing this, the partnership will provide game changing knowledge, understanding and technology to deliver significant impact for the partners, the UK economy and global nuclear industry.
Additionally it will ensure UK scientific and engineering companies remain at the forefront of global markets.
The research in this programme targets low technology readiness level (TRL) advances that are required to support the ambitions of the industry partners and will deliver specific research outcomes which:
- Deliver improved understanding and knowledge of lifetime and degradation processes;
- Deliver a novel method or system for diagnosing or predicting degradation in plant;
- Deliver novel predictive models that allow the lifetime of plant items to be extended; or
- Deliver novel solutions to repairing critical plant to allow plant lifetime to be extended.

The research programme and the pathway to impact will result in the whole life cycle of nuclear assets being more effectively implemented at a value higher than the sum of the individual parts. Operators will see increases in generation and reductions in costs, resulting in lower cost energy for consumers. As nuclear energy is a carbon neutral energy, investment in nuclear will help decrease CO2 emissions and global warming.
The programme targets Energy Security and Efficiency, aiming to meet National Strategic Needs in the Nuclear Sector by investing in nuclear plant life extensions and efficiencies which will help increase electrical generation capacity and reduce the burden on existing electrical assets at a time when the UK faces a shortage in energy and electricity supplies in the coming years.
In addition, some of the industry partners' interests span a number of sectors and the research themes in this programme are also highly relevant to other sectors including aerospace, energy and marine.
Finally, an additional aim of the programme, relates to development of supply chains to deliver the next generation of technologies and components for nuclear assets. Moreover, as a number of the industrial members of the research centres are non-UK based, outputs from this research programme and subsequent products and services can be exported into international markets. This will lead to UK companies being part of foreign supply chains.

Planned Impact

This programme is aimed at the supporting a more sustainable energy policy for the UK and benefits for all of society. It will result in lower cost energy for consumers and as nuclear energy is a carbon neutral energy, investment in nuclear will help decrease CO2 emissions and global warming. Additionally, nuclear plant life extensions and efficiencies will help increase electrical generation capacity at a time when the UK faces a shortage in energy and electricity supplies in the coming years.
By bringing together various sections of the nuclear supply chain (operators, consultants, OEMs, academics) in a consortium, an opportunity exists through this partnership to better integrate each part of the supply chain's needs and requirements, leading to a more efficient and effective nuclear sector in the UK.
The proposed treatment and repair strategies for nuclear structures (including foundations) are applicable to infrastructure within the wider Built Environment. The proposed technologies are low-carbon and designed to minimise production of radioactive waste, which requires encapsulation for storage and geological disposal. The research concerning operational intelligence and decision support will introduce a step change in the through-life plant maintenance, operation, management and lifetime extension capabilities in the UK and internationally. Within the UK context, the UK's largest producer of low-carbon electricity, EDF Energy, will benefit from: maximising the generation from their existing stations, reducing the costs of operations and maintenance on their existing stations, and reducing the costs of decommissioning their existing stations. The specific challenges and advances that the nuclear operators are using the Prosperity Partnership to address provides commercial opportunities for the wider partnership. The OEMs and consultants will benefit from technology-driven initiatives to enhance their support methodologies, service and product offerings.
The research outcomes, novel contributions and knowledge developed will provide value to a number of academic communities within EPSRC's clearly defined Research Areas. In particular, the programme directly articulates with researchers interested in EPSRC's Nuclear Fission priority area, with a focus on existing operations and new nuclear build. The strong linkage between the university's research, the industry partner needs and EPSRC priority research areas means that all of the research will significantly influence the UK academic community. Many of these priorities are also of international interest and reach.

Publications

10 25 50
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Aizpurua J (2021) Uncertainty-Aware Fusion of Probabilistic Classifiers for Improved Transformer Diagnostics in IEEE Transactions on Systems, Man, and Cybernetics: Systems

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Aizpurua J (2018) Power transformer dissolved gas analysis through Bayesian networks and hypothesis testing in IEEE Transactions on Dielectrics and Electrical Insulation

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Cockayne J (2019) Bayesian Probabilistic Numerical Methods in SIAM Review

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Duffin C (2020) Statistical finite elements for misspecified models in Proceedings of the National Academy of Sciences

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Dunlop Matthew M. (2018) How Deep Are Deep Gaussian Processes? in JOURNAL OF MACHINE LEARNING RESEARCH

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Javadi Y. (2018) Ultrasonic phased array inspection of wire plus arc additive manufacture (WAAM) samples using conventional and total focusing method (TFM) imaging approaches in NDT 2018 - 57th Annual Conference of the British Institute of Non-Destructive Testing

 
Description Over the past year (2021-2022) several of the programme engagements have resulted in new or improved impact. Theme 1 - Advanced Through-life Inspection Solutions Automated Weld Inspection: Through translational funding via the BEIS Nuclear Innovation Program, an integrated autonomous ultrasonic in-process inspection prototype has been demonstrated and deployed in-process on flat and circumferential Tungsten Inert Gas (TIG) welds in a mock-industrial lab environment at TRL 5. This has been conducted in collaboration with the Nuclear Advanced Manufacturing Research Centre (NAMRC) at the University of Sheffield and with industrial support and sponsorship from Babcock International Group (Cavendish Nuclear) and Doosan Babcock. Robotic inspection deployment: New technologies have been developed, specifically for the nuclear industry to: 1. Reduce the need to send inspectors into high and active radiation environments. 2. Improve the quality of remote inspections (e.g. robotic delivery of cross vessel duct welds for Cavendish Nuclear's U-Battery inspection processes) - reducing the chance of an asset failure. These technologies are being assessed by industry partners for either: direct adoption and integration into remote inspection systems for existing nuclear facilities; or, as part of commercial offering to new nuclear builds (such as SMRs) that include associated contract tendering process. Theme 2 - Biotechnology for the Repair and Remediation of Concrete Nuclear Infrastructure Biomineral repair of Concrete: A new method has been developed to repair damaged concrete infrastructure using biomineral precipitation of calcium carbonate. Six degraded concrete cores have been treated sampled from the foreshore at Hunterston Power Station. The method has been shown to decrease the permeability of fractured concrete by two to three orders of magnitude and provide a tensile strength of >1.2 MPa (from an initial tensile strength of zero). The project has utilised X-CT imaging to quantify and visualise the calcium carbonate deposited within the fracture network in the damaged concrete samples. Tests are now ongoing on larger-scale blocks and discussion with industry partners has identified a potential field site. Decommissionable Concrete: The project has improved the techniques related to hydroxyapatite (HAP) coating on cement. This HAP coating is observed to be 20-30 microns thick with uniform thickness. In collaboration with the National Physical Laboratory, experiments have been successfully conducted immersing the HAP-coated concrete in solutions containing radioactive Strontium and Uranium. Analysis of results (including EMPA imaging at Diamond) shows that both Sr and U are captured in the hydroxyapatite layer, protecting the concrete from contamination. Theme 3 - Operational Impact: New transformer analytic methods have been industrially deployed alongside the previously developed methods on an SME partner platform (Bellrock Technology's Lumen) and are now in active operation at EDF. Six analytics were delivered to EDF to improve diagnostic and predictions of boiler pump operations. Part of this delivery included the development of an integrated cloud-hosted software tool, with the six analytics embedded and utilising common front-end user interfaces and visualisation techniques. A number of new/improved analytics have been delivered to Bruce Power, including: fuelling machine log data analysis; calandria spacer location detection de-noising algorithms; and, a sensor degradation field test model. Together these deliverables are helping support Bruce Power's digital strategy. The analytics framework project has completed a consolidated source of best-practice, experience and insight into technologies and challenges in the development and deployment of analytics in the nuclear industry. The resulting suite of best practice tools and documentation is now available to all programme industry partners, permitting both technical teams and management to take advantage of pooled knowledge, focussing on key areas while helping anticipate emerging challenges in the field of analytics.
First Year Of Impact 2018
Sector Energy
Impact Types Economic

 
Description Bangor Nuclear Futures led report on AMR for Net-zero
Geographic Reach National 
Policy Influence Type Gave evidence to a government review
URL https://nubu.nu/delivering-net-zero-role-of-amrs-report/
 
Description IAEA Committee on the Application of AI in Nuclear
Geographic Reach Multiple continents/international 
Policy Influence Type Membership of a guideline committee
URL https://www.iaea.org/newscenter/news/pioneering-iaea-meeting-to-focus-on-ai-based-approaches-in-nucl...
 
Description Royal Society of Edinburgh Inquiry - Scotland's Energy Future, Investigator PI and Co-Is on Committee
Geographic Reach National 
Policy Influence Type Membership of a guideline committee
 
Description EDI Network Plus for Energy Researchers
Amount £1,250,000 (GBP)
Funding ID EP/W033747/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 05/2022 
End 05/2026
 
Description Effective Transfer Impact Acceleration Account Software Demonstrators Project
Amount £28,000 (GBP)
Organisation University of Strathclyde 
Sector Academic/University
Country United Kingdom
Start 01/2022 
End 06/2022
 
Description Fellowship - C. MacLeod
Amount £2,780,000 (GBP)
Organisation Royal Academy of Engineering 
Sector Charity/Non Profit
Country United Kingdom
Start  
 
Description Flamanville 3 Feasibility Study - Manipulator Positioning and Communication System
Amount £100,000 (GBP)
Organisation Doosan Babcock 
Sector Private
Country United Kingdom
Start 04/2019 
End 11/2019
 
Description HRSG Visual Inspection
Amount £112,500 (GBP)
Organisation Doosan Babcock 
Sector Private
Country United Kingdom
Start 02/2021 
End 12/2021
 
Description NPL ICASE PhD
Amount £75,000 (GBP)
Organisation National Physical Laboratory 
Sector Academic/University
Country United Kingdom
Start 09/2020 
End 02/2024
 
Description Optimising Bacteria Production and Storage for Field-Scale Application of a New Biomineralization Technology in Ground Engineering
Amount £76,556 (GBP)
Organisation IBioIC 
Sector Academic/University
Country United Kingdom
Start 06/2020 
End 06/2021
 
Description RIC Tubes Inspection Tools
Amount £12,500 (GBP)
Organisation Doosan Babcock 
Sector Private
Country United Kingdom
Start 08/2021 
End 11/2021
 
Description Research Excellence Award
Amount £62,079 (GBP)
Organisation University of Strathclyde 
Sector Academic/University
Country United Kingdom
Start 09/2021 
End 09/2024
 
Description Royal Academy of Engineering Chair - Professor Rebecca Lunn
Amount £2,780,000 (GBP)
Organisation Royal Academy of Engineering 
Sector Charity/Non Profit
Country United Kingdom
Start 01/2018 
End 12/2027
 
Description Royal Academy of Engineering Chair - S. Gareth Pierce
Amount £2,780,000 (GBP)
Organisation Royal Academy of Engineering 
Sector Charity/Non Profit
Country United Kingdom
Start 05/2020 
End 05/2030
 
Description The Department for Business, Energy and Industrial Strategy (BEIS)'s Energy Innovation Programme (EIP)
Amount £1,300,000 (GBP)
Organisation Department for Business, Energy & Industrial Strategy 
Sector Public
Country United Kingdom
Start 03/2020 
End 03/2023
 
Description Uptake of Sr and U by apatite on cement designed for nuclear decommissioning
Amount £75,000 (GBP)
Organisation National Physical Laboratory 
Sector Academic/University
Country United Kingdom
Start 02/2021 
End 03/2021
 
Description A case-study led framework for development and deployment of analytics in the nuclear industry 
Organisation Babcock International Group
Country United Kingdom 
Sector Private 
PI Contribution The engagement will, through workshops and discussions with industry partners, assemble and consolidate best practice and experience into an 'Analytics Model' framework for development and deployment of analytics in the nuclear industry, including the role of the regulator in validation and verification. In parallel to this work, case studies on areas of overlapping interest to industry members will be undertaken in order to develop and demonstrate the framework.
Collaborator Contribution Access to relevant domain experts and equipment owners for workshops, data and knowledge capture, and review and feedback on technical reporting. Access to data and equipment required to extract data from existing systems. Access to necessary partner (or contractor) technical documentation.
Impact An initial workshop (Workpack 1.1) will be conducted with industry partners to explore current challenges and approaches that partners are employing, and their success and experience. A report (Workpack 1.2) summarising these findings will be produced and circulated for discussion and feedback. Individual partner workshops (Workpack 1.3) will be undertaken as appropriate to identify more detailed relevant OPEX and information. In parallel, a set of workshops will be proposed with the regulators (Workpack 1.4), in the UK and Canada, in order to identify the key requirements for effective validation and verification of analytics. The outputs of these workshops will be prepared as a report and circulated to partners. A formal review (Workpack 1.5) will then be undertaken of the approaches, techniques and technologies identified in the workshops which will identify specific requirements (Workpack 1.6) for a framework, covering: - Technology selection and integration - Deployment and security - Validation and verification - Regulatory regime and approval A comprehensive review (Workpack 1.7) of similar activities in non-member organisations, including outside the nuclear industry, will be undertaken to provide a broader range of experience. A workshop combining experts from a range of industries will be considered as a method of identifying best practice with applicability from outside the nuclear industry. Findings from the partner workshops, the regulator workshops, the external workshops and the review process will be assembled into a report (Workpack 1.8) which will provide a consolidated view of specific experience, decision making tools, approaches and recommendations which can be incorporated into future partner and/or Prosperity Partnership projects. Feedback sessions (Workpack 1.9) will then be undertaken with partners and the regulators (Workpack 1.10) in order to assemble comments, feedback and improvements. This approach recognises that the model development process is dynamic (e.g. as technologies, tools and requirements evolve) and as a result the model will be enhanced through iterative review and updates. Based on feedback, a second iteration of the model (Workpack 1.11) will be developed and circulated, as a series of case studies are launched which will look to evaluate and demonstrate the concepts contained within the model. In this way, the model will inform the development of the case studies while the experience of the case studies will form useful feedback to the model, which will be captured and incorporated (Workpack 1.12) to further improve the model (Workpack 1.13).
Start Year 2020
 
Description A case-study led framework for development and deployment of analytics in the nuclear industry 
Organisation Bellrock Technology
Country United Kingdom 
Sector Private 
PI Contribution The engagement will, through workshops and discussions with industry partners, assemble and consolidate best practice and experience into an 'Analytics Model' framework for development and deployment of analytics in the nuclear industry, including the role of the regulator in validation and verification. In parallel to this work, case studies on areas of overlapping interest to industry members will be undertaken in order to develop and demonstrate the framework.
Collaborator Contribution Access to relevant domain experts and equipment owners for workshops, data and knowledge capture, and review and feedback on technical reporting. Access to data and equipment required to extract data from existing systems. Access to necessary partner (or contractor) technical documentation.
Impact An initial workshop (Workpack 1.1) will be conducted with industry partners to explore current challenges and approaches that partners are employing, and their success and experience. A report (Workpack 1.2) summarising these findings will be produced and circulated for discussion and feedback. Individual partner workshops (Workpack 1.3) will be undertaken as appropriate to identify more detailed relevant OPEX and information. In parallel, a set of workshops will be proposed with the regulators (Workpack 1.4), in the UK and Canada, in order to identify the key requirements for effective validation and verification of analytics. The outputs of these workshops will be prepared as a report and circulated to partners. A formal review (Workpack 1.5) will then be undertaken of the approaches, techniques and technologies identified in the workshops which will identify specific requirements (Workpack 1.6) for a framework, covering: - Technology selection and integration - Deployment and security - Validation and verification - Regulatory regime and approval A comprehensive review (Workpack 1.7) of similar activities in non-member organisations, including outside the nuclear industry, will be undertaken to provide a broader range of experience. A workshop combining experts from a range of industries will be considered as a method of identifying best practice with applicability from outside the nuclear industry. Findings from the partner workshops, the regulator workshops, the external workshops and the review process will be assembled into a report (Workpack 1.8) which will provide a consolidated view of specific experience, decision making tools, approaches and recommendations which can be incorporated into future partner and/or Prosperity Partnership projects. Feedback sessions (Workpack 1.9) will then be undertaken with partners and the regulators (Workpack 1.10) in order to assemble comments, feedback and improvements. This approach recognises that the model development process is dynamic (e.g. as technologies, tools and requirements evolve) and as a result the model will be enhanced through iterative review and updates. Based on feedback, a second iteration of the model (Workpack 1.11) will be developed and circulated, as a series of case studies are launched which will look to evaluate and demonstrate the concepts contained within the model. In this way, the model will inform the development of the case studies while the experience of the case studies will form useful feedback to the model, which will be captured and incorporated (Workpack 1.12) to further improve the model (Workpack 1.13).
Start Year 2020
 
Description A case-study led framework for development and deployment of analytics in the nuclear industry 
Organisation Bruce Power
Country Canada 
Sector Private 
PI Contribution The engagement will, through workshops and discussions with industry partners, assemble and consolidate best practice and experience into an 'Analytics Model' framework for development and deployment of analytics in the nuclear industry, including the role of the regulator in validation and verification. In parallel to this work, case studies on areas of overlapping interest to industry members will be undertaken in order to develop and demonstrate the framework.
Collaborator Contribution Access to relevant domain experts and equipment owners for workshops, data and knowledge capture, and review and feedback on technical reporting. Access to data and equipment required to extract data from existing systems. Access to necessary partner (or contractor) technical documentation.
Impact An initial workshop (Workpack 1.1) will be conducted with industry partners to explore current challenges and approaches that partners are employing, and their success and experience. A report (Workpack 1.2) summarising these findings will be produced and circulated for discussion and feedback. Individual partner workshops (Workpack 1.3) will be undertaken as appropriate to identify more detailed relevant OPEX and information. In parallel, a set of workshops will be proposed with the regulators (Workpack 1.4), in the UK and Canada, in order to identify the key requirements for effective validation and verification of analytics. The outputs of these workshops will be prepared as a report and circulated to partners. A formal review (Workpack 1.5) will then be undertaken of the approaches, techniques and technologies identified in the workshops which will identify specific requirements (Workpack 1.6) for a framework, covering: - Technology selection and integration - Deployment and security - Validation and verification - Regulatory regime and approval A comprehensive review (Workpack 1.7) of similar activities in non-member organisations, including outside the nuclear industry, will be undertaken to provide a broader range of experience. A workshop combining experts from a range of industries will be considered as a method of identifying best practice with applicability from outside the nuclear industry. Findings from the partner workshops, the regulator workshops, the external workshops and the review process will be assembled into a report (Workpack 1.8) which will provide a consolidated view of specific experience, decision making tools, approaches and recommendations which can be incorporated into future partner and/or Prosperity Partnership projects. Feedback sessions (Workpack 1.9) will then be undertaken with partners and the regulators (Workpack 1.10) in order to assemble comments, feedback and improvements. This approach recognises that the model development process is dynamic (e.g. as technologies, tools and requirements evolve) and as a result the model will be enhanced through iterative review and updates. Based on feedback, a second iteration of the model (Workpack 1.11) will be developed and circulated, as a series of case studies are launched which will look to evaluate and demonstrate the concepts contained within the model. In this way, the model will inform the development of the case studies while the experience of the case studies will form useful feedback to the model, which will be captured and incorporated (Workpack 1.12) to further improve the model (Workpack 1.13).
Start Year 2020
 
Description A case-study led framework for development and deployment of analytics in the nuclear industry 
Organisation Doosan Babcock
Country United Kingdom 
Sector Private 
PI Contribution The engagement will, through workshops and discussions with industry partners, assemble and consolidate best practice and experience into an 'Analytics Model' framework for development and deployment of analytics in the nuclear industry, including the role of the regulator in validation and verification. In parallel to this work, case studies on areas of overlapping interest to industry members will be undertaken in order to develop and demonstrate the framework.
Collaborator Contribution Access to relevant domain experts and equipment owners for workshops, data and knowledge capture, and review and feedback on technical reporting. Access to data and equipment required to extract data from existing systems. Access to necessary partner (or contractor) technical documentation.
Impact An initial workshop (Workpack 1.1) will be conducted with industry partners to explore current challenges and approaches that partners are employing, and their success and experience. A report (Workpack 1.2) summarising these findings will be produced and circulated for discussion and feedback. Individual partner workshops (Workpack 1.3) will be undertaken as appropriate to identify more detailed relevant OPEX and information. In parallel, a set of workshops will be proposed with the regulators (Workpack 1.4), in the UK and Canada, in order to identify the key requirements for effective validation and verification of analytics. The outputs of these workshops will be prepared as a report and circulated to partners. A formal review (Workpack 1.5) will then be undertaken of the approaches, techniques and technologies identified in the workshops which will identify specific requirements (Workpack 1.6) for a framework, covering: - Technology selection and integration - Deployment and security - Validation and verification - Regulatory regime and approval A comprehensive review (Workpack 1.7) of similar activities in non-member organisations, including outside the nuclear industry, will be undertaken to provide a broader range of experience. A workshop combining experts from a range of industries will be considered as a method of identifying best practice with applicability from outside the nuclear industry. Findings from the partner workshops, the regulator workshops, the external workshops and the review process will be assembled into a report (Workpack 1.8) which will provide a consolidated view of specific experience, decision making tools, approaches and recommendations which can be incorporated into future partner and/or Prosperity Partnership projects. Feedback sessions (Workpack 1.9) will then be undertaken with partners and the regulators (Workpack 1.10) in order to assemble comments, feedback and improvements. This approach recognises that the model development process is dynamic (e.g. as technologies, tools and requirements evolve) and as a result the model will be enhanced through iterative review and updates. Based on feedback, a second iteration of the model (Workpack 1.11) will be developed and circulated, as a series of case studies are launched which will look to evaluate and demonstrate the concepts contained within the model. In this way, the model will inform the development of the case studies while the experience of the case studies will form useful feedback to the model, which will be captured and incorporated (Workpack 1.12) to further improve the model (Workpack 1.13).
Start Year 2020
 
Description A case-study led framework for development and deployment of analytics in the nuclear industry 
Organisation EDF Energy
Country United Kingdom 
Sector Private 
PI Contribution The engagement will, through workshops and discussions with industry partners, assemble and consolidate best practice and experience into an 'Analytics Model' framework for development and deployment of analytics in the nuclear industry, including the role of the regulator in validation and verification. In parallel to this work, case studies on areas of overlapping interest to industry members will be undertaken in order to develop and demonstrate the framework.
Collaborator Contribution Access to relevant domain experts and equipment owners for workshops, data and knowledge capture, and review and feedback on technical reporting. Access to data and equipment required to extract data from existing systems. Access to necessary partner (or contractor) technical documentation.
Impact An initial workshop (Workpack 1.1) will be conducted with industry partners to explore current challenges and approaches that partners are employing, and their success and experience. A report (Workpack 1.2) summarising these findings will be produced and circulated for discussion and feedback. Individual partner workshops (Workpack 1.3) will be undertaken as appropriate to identify more detailed relevant OPEX and information. In parallel, a set of workshops will be proposed with the regulators (Workpack 1.4), in the UK and Canada, in order to identify the key requirements for effective validation and verification of analytics. The outputs of these workshops will be prepared as a report and circulated to partners. A formal review (Workpack 1.5) will then be undertaken of the approaches, techniques and technologies identified in the workshops which will identify specific requirements (Workpack 1.6) for a framework, covering: - Technology selection and integration - Deployment and security - Validation and verification - Regulatory regime and approval A comprehensive review (Workpack 1.7) of similar activities in non-member organisations, including outside the nuclear industry, will be undertaken to provide a broader range of experience. A workshop combining experts from a range of industries will be considered as a method of identifying best practice with applicability from outside the nuclear industry. Findings from the partner workshops, the regulator workshops, the external workshops and the review process will be assembled into a report (Workpack 1.8) which will provide a consolidated view of specific experience, decision making tools, approaches and recommendations which can be incorporated into future partner and/or Prosperity Partnership projects. Feedback sessions (Workpack 1.9) will then be undertaken with partners and the regulators (Workpack 1.10) in order to assemble comments, feedback and improvements. This approach recognises that the model development process is dynamic (e.g. as technologies, tools and requirements evolve) and as a result the model will be enhanced through iterative review and updates. Based on feedback, a second iteration of the model (Workpack 1.11) will be developed and circulated, as a series of case studies are launched which will look to evaluate and demonstrate the concepts contained within the model. In this way, the model will inform the development of the case studies while the experience of the case studies will form useful feedback to the model, which will be captured and incorporated (Workpack 1.12) to further improve the model (Workpack 1.13).
Start Year 2020
 
Description Biotechnology for Design of Decommissionable Concrete 
Organisation BAM Nuttall
Country United Kingdom 
Sector Private 
PI Contribution Technologies being developed for the application of microbially induced mineral precipitation, specifically calcite, aragonite and apatite, on concrete and other geological materials (soils and rocks). Bio-treatment of concrete to develop new concrete material for use on nuclear sites (e.g. for construction of bunds beneath decommissioning operational areas or for new-build infrastructure). Retrofitting of technology to existing concrete structures (e.g. for application to uncontaminated concrete as a protection during decommissioning and deconstruction operations). Concrete specifically designed to trap radionuclides into a thin surface layer, that is easily removable.
Collaborator Contribution Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to develop the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on deployment aspects during development phases of the technologies and also regulations associated with acceptance by the industry regulator.
Impact Discussion meetings held to determine likely applications and environments as an input into material design.
Start Year 2018
 
Description Biotechnology for Design of Decommissionable Concrete 
Organisation Babcock International Group
Country United Kingdom 
Sector Private 
PI Contribution Technologies being developed for the application of microbially induced mineral precipitation, specifically calcite, aragonite and apatite, on concrete and other geological materials (soils and rocks). Bio-treatment of concrete to develop new concrete material for use on nuclear sites (e.g. for construction of bunds beneath decommissioning operational areas or for new-build infrastructure). Retrofitting of technology to existing concrete structures (e.g. for application to uncontaminated concrete as a protection during decommissioning and deconstruction operations). Concrete specifically designed to trap radionuclides into a thin surface layer, that is easily removable.
Collaborator Contribution Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to develop the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on deployment aspects during development phases of the technologies and also regulations associated with acceptance by the industry regulator.
Impact Discussion meetings held to determine likely applications and environments as an input into material design.
Start Year 2018
 
Description Biotechnology for Design of Decommissionable Concrete 
Organisation Bruce Power
Country Canada 
Sector Private 
PI Contribution Technologies being developed for the application of microbially induced mineral precipitation, specifically calcite, aragonite and apatite, on concrete and other geological materials (soils and rocks). Bio-treatment of concrete to develop new concrete material for use on nuclear sites (e.g. for construction of bunds beneath decommissioning operational areas or for new-build infrastructure). Retrofitting of technology to existing concrete structures (e.g. for application to uncontaminated concrete as a protection during decommissioning and deconstruction operations). Concrete specifically designed to trap radionuclides into a thin surface layer, that is easily removable.
Collaborator Contribution Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to develop the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on deployment aspects during development phases of the technologies and also regulations associated with acceptance by the industry regulator.
Impact Discussion meetings held to determine likely applications and environments as an input into material design.
Start Year 2018
 
Description Biotechnology for Design of Decommissionable Concrete 
Organisation EDF Energy
Country United Kingdom 
Sector Private 
PI Contribution Technologies being developed for the application of microbially induced mineral precipitation, specifically calcite, aragonite and apatite, on concrete and other geological materials (soils and rocks). Bio-treatment of concrete to develop new concrete material for use on nuclear sites (e.g. for construction of bunds beneath decommissioning operational areas or for new-build infrastructure). Retrofitting of technology to existing concrete structures (e.g. for application to uncontaminated concrete as a protection during decommissioning and deconstruction operations). Concrete specifically designed to trap radionuclides into a thin surface layer, that is easily removable.
Collaborator Contribution Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to develop the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on deployment aspects during development phases of the technologies and also regulations associated with acceptance by the industry regulator.
Impact Discussion meetings held to determine likely applications and environments as an input into material design.
Start Year 2018
 
Description Biotechnology for Design of Decommissionable Concrete 
Organisation Kinectrics Ltd
Country Canada 
Sector Private 
PI Contribution Technologies being developed for the application of microbially induced mineral precipitation, specifically calcite, aragonite and apatite, on concrete and other geological materials (soils and rocks). Bio-treatment of concrete to develop new concrete material for use on nuclear sites (e.g. for construction of bunds beneath decommissioning operational areas or for new-build infrastructure). Retrofitting of technology to existing concrete structures (e.g. for application to uncontaminated concrete as a protection during decommissioning and deconstruction operations). Concrete specifically designed to trap radionuclides into a thin surface layer, that is easily removable.
Collaborator Contribution Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to develop the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on deployment aspects during development phases of the technologies and also regulations associated with acceptance by the industry regulator.
Impact Discussion meetings held to determine likely applications and environments as an input into material design.
Start Year 2018
 
Description Biotechnology for the Treatment and Repair of Concrete Nuclear Infrastructure 
Organisation BAM Nuttall
Country United Kingdom 
Sector Private 
PI Contribution Development of nuclear specific repair strategies for concrete on nuclear sites, adopting three underlying technologies: Microbially Induced Calcite Precipitation (MICP); Enzyme-Based Calcite Precipitation (EBCP); and, colloidal silica-based repair. These are applied to: repair of building stone; ground improvements (strengthening soils/rocks); and, grout for the formation of subsurface hydraulic barriers.
Collaborator Contribution Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to deploy the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on how to best deploy the technologies as they are developed and also be accepted by the industry regulator.
Impact Location and case studies of technology development have been identified: Babcock International Group - Dockyard wall repair and life extension; and, Bruce Power and EDF Energy - degraded concrete radiation sheilding and concrete foundations;
Start Year 2018
 
Description Biotechnology for the Treatment and Repair of Concrete Nuclear Infrastructure 
Organisation Babcock International Group
Country United Kingdom 
Sector Private 
PI Contribution Development of nuclear specific repair strategies for concrete on nuclear sites, adopting three underlying technologies: Microbially Induced Calcite Precipitation (MICP); Enzyme-Based Calcite Precipitation (EBCP); and, colloidal silica-based repair. These are applied to: repair of building stone; ground improvements (strengthening soils/rocks); and, grout for the formation of subsurface hydraulic barriers.
Collaborator Contribution Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to deploy the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on how to best deploy the technologies as they are developed and also be accepted by the industry regulator.
Impact Location and case studies of technology development have been identified: Babcock International Group - Dockyard wall repair and life extension; and, Bruce Power and EDF Energy - degraded concrete radiation sheilding and concrete foundations;
Start Year 2018
 
Description Biotechnology for the Treatment and Repair of Concrete Nuclear Infrastructure 
Organisation Bruce Power
Country Canada 
Sector Private 
PI Contribution Development of nuclear specific repair strategies for concrete on nuclear sites, adopting three underlying technologies: Microbially Induced Calcite Precipitation (MICP); Enzyme-Based Calcite Precipitation (EBCP); and, colloidal silica-based repair. These are applied to: repair of building stone; ground improvements (strengthening soils/rocks); and, grout for the formation of subsurface hydraulic barriers.
Collaborator Contribution Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to deploy the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on how to best deploy the technologies as they are developed and also be accepted by the industry regulator.
Impact Location and case studies of technology development have been identified: Babcock International Group - Dockyard wall repair and life extension; and, Bruce Power and EDF Energy - degraded concrete radiation sheilding and concrete foundations;
Start Year 2018
 
Description Biotechnology for the Treatment and Repair of Concrete Nuclear Infrastructure 
Organisation EDF Energy
Country United Kingdom 
Sector Private 
PI Contribution Development of nuclear specific repair strategies for concrete on nuclear sites, adopting three underlying technologies: Microbially Induced Calcite Precipitation (MICP); Enzyme-Based Calcite Precipitation (EBCP); and, colloidal silica-based repair. These are applied to: repair of building stone; ground improvements (strengthening soils/rocks); and, grout for the formation of subsurface hydraulic barriers.
Collaborator Contribution Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to deploy the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on how to best deploy the technologies as they are developed and also be accepted by the industry regulator.
Impact Location and case studies of technology development have been identified: Babcock International Group - Dockyard wall repair and life extension; and, Bruce Power and EDF Energy - degraded concrete radiation sheilding and concrete foundations;
Start Year 2018
 
Description Biotechnology for the Treatment and Repair of Concrete Nuclear Infrastructure 
Organisation Kinectrics Ltd
Country Canada 
Sector Private 
PI Contribution Development of nuclear specific repair strategies for concrete on nuclear sites, adopting three underlying technologies: Microbially Induced Calcite Precipitation (MICP); Enzyme-Based Calcite Precipitation (EBCP); and, colloidal silica-based repair. These are applied to: repair of building stone; ground improvements (strengthening soils/rocks); and, grout for the formation of subsurface hydraulic barriers.
Collaborator Contribution Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to deploy the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on how to best deploy the technologies as they are developed and also be accepted by the industry regulator.
Impact Location and case studies of technology development have been identified: Babcock International Group - Dockyard wall repair and life extension; and, Bruce Power and EDF Energy - degraded concrete radiation sheilding and concrete foundations;
Start Year 2018
 
Description Cable and Transformer Monitoring Analytics 
Organisation Bruce Power
Country Canada 
Sector Private 
PI Contribution Improved remaining useful life predictions for electrical plant and equipment (specifically cables and transformers) through novel application of machine learning, Bayesian Networks and statistical analysis. This includes:the creation of adaptive power transformer paper lifetime predictions through machine learning and uncertainty modelling; uncertainty-aware fusion of probabilistic classifiers for improved transformer diagnostics; and, an uncertainty driven probabilistic Health Index Framework for power transformer condition assessment.
Collaborator Contribution Bruce Power have provided extensive access to transformer experts and maintenance engineers to provide requirements, and assess the research results. Kinectrics has provided detailed dissolved-gas-in-oil analysis (DGA) results for Bruce Power transformers, as a result of oil tests undertaken by Kinectrics. EDF Energy have provided detailed cable data to extend the work into this area.
Impact A range of statistical and machine learning models have been created. Draft cable thermal rating model created. Bruce Power cable selection report. EDF Energy cable dataset analysis.
Start Year 2017
 
Description Cable and Transformer Monitoring Analytics 
Organisation EDF Energy
Department EDF Energy Nuclear Generation
Country United Kingdom 
Sector Private 
PI Contribution Improved remaining useful life predictions for electrical plant and equipment (specifically cables and transformers) through novel application of machine learning, Bayesian Networks and statistical analysis. This includes:the creation of adaptive power transformer paper lifetime predictions through machine learning and uncertainty modelling; uncertainty-aware fusion of probabilistic classifiers for improved transformer diagnostics; and, an uncertainty driven probabilistic Health Index Framework for power transformer condition assessment.
Collaborator Contribution Bruce Power have provided extensive access to transformer experts and maintenance engineers to provide requirements, and assess the research results. Kinectrics has provided detailed dissolved-gas-in-oil analysis (DGA) results for Bruce Power transformers, as a result of oil tests undertaken by Kinectrics. EDF Energy have provided detailed cable data to extend the work into this area.
Impact A range of statistical and machine learning models have been created. Draft cable thermal rating model created. Bruce Power cable selection report. EDF Energy cable dataset analysis.
Start Year 2017
 
Description Cable and Transformer Monitoring Analytics 
Organisation Kinectrics Ltd
Country Canada 
Sector Private 
PI Contribution Improved remaining useful life predictions for electrical plant and equipment (specifically cables and transformers) through novel application of machine learning, Bayesian Networks and statistical analysis. This includes:the creation of adaptive power transformer paper lifetime predictions through machine learning and uncertainty modelling; uncertainty-aware fusion of probabilistic classifiers for improved transformer diagnostics; and, an uncertainty driven probabilistic Health Index Framework for power transformer condition assessment.
Collaborator Contribution Bruce Power have provided extensive access to transformer experts and maintenance engineers to provide requirements, and assess the research results. Kinectrics has provided detailed dissolved-gas-in-oil analysis (DGA) results for Bruce Power transformers, as a result of oil tests undertaken by Kinectrics. EDF Energy have provided detailed cable data to extend the work into this area.
Impact A range of statistical and machine learning models have been created. Draft cable thermal rating model created. Bruce Power cable selection report. EDF Energy cable dataset analysis.
Start Year 2017
 
Description Effective Transfer of Models and Analytic Techniques to Wider Applications 
Organisation Babcock International Group
Country United Kingdom 
Sector Private 
PI Contribution This project is focused on identifying techniques and approaches so that analytic models and algorithms can be more easily and rapidly applied to similar use cases. It is intended to draw upon the research field of "transfer learning" and ensure that this is used effectively within the wider programme's research and development projects.
Collaborator Contribution Case-studies and data were provided by partners for industrial case-study 'target domains'. Collaborating industry partners also supplied engineering expertise related to 'target domain' asset operation, failure mechanisms and associated fault diagnosis.
Impact Work Package 1 - Identification and Development of Appropriate Transfer Techniques Activity 1 - This activity will form the basis of all subsequent work as appropriate methods and techniques for transfer between source and target domains will be either adopted, adapted or developed. The aim of this activity is to both: create techniques that are relevant to the related case studies; and, to ensure they perform effectively in their task. Activity 2 - In order to develop, test and validate the proposed techniques a two-stage approach will be adopted. First the techniques will be developed using publicly available case-study datasets. Candidate datasets available for this project include: the NASA turbofan dataset; the PHM08 dataset; the MFPT bearing fault dataset, the Mathworks rolling element bearing fault dataset; and, the Case Western bearing fault dataset. These datasets are freely available, well curated, and extensively studied; therefore acting as a foundation from which to build experience and expertise. Once foundation understanding of the transfer techniques proposed, their pros and cons, and their limitations is gained, the developed techniques will be applied to real industry case studies (see Work Package 4 and Activity 6 below for this second stage) Milestone 1.1 - Relevant techniques identified. Milestone 1.2 - Successful application of WP1 to basic diagnostic case-study Work Package 2 - Transfer Visualisation and Interpretability Activity 3 - This activity will investigate, propose and demonstrate how the transfer techniques can be visualised/interpreted by an end-user that would ultimately adopt the output. The aim is to provide information on what the transfer process has done and how it has changed the underlying 'source' domain model. Activity 4 - Similar to Activity 2, initial techniques will be applied to publicly available data sets. Milestone 2.1 - Baseline techniques and visualisations identified. Milestone 2.2 - Successful application of WP2 to basic diagnostic case-study Work Package 3 -Transfer Performance and Effectiveness Measures Activity 5 - An indication of model transfer performance and suitability for the 'target' tasks will provide end-users with both a reference for expected performance of the 'transferred' model and an appreciation of any limitations resulting from adopting the transfer technique. Qualitative or quantitative (where appropriate) metrics will be investigated and applied to the case-studies under investigation, with visualisations displayed to the end-user as described in work package 2. Metrics for investigation will include divergence criteria such as 'f-divergences' and 'Bergmann Divergences' but it is expected that adapted or new metric will result from the research, for example expanding for higher dimensional analysis. Milestone 3.1 - Appropriate assessments and metrics identified/developed and applied. Milestone 3.2 - Assessments and metrics incorporated into visualisations. Deliverable 1 - Demonstration of WP1, WP2 and WP3 on public dataset case-study for collaborating industry partner(s). Work Package 4 - Implementation of Transfer Learning, Visualisation and Interpretability Activity 6 - During the timeframes associated with WP1, WP2 and WP3 the project will be continually developing, adapting and assessing transfer technologies relevant to the industry case-studies intended during WP4. During these initial project phases there will therefore be continuous scoping and engagement with industry partners, both to incrementally demonstrate the transfer technologies being developed and also to aid in scoping and identifying appropriate case-studies Activity 7 - For the industry case studies the source domain will be the dataset associated with ANRC 11-2 (feed pump analytics) and the target domains will be a suitably similar asset(s), to be defined by ANRC partners (who can supply the related dataset). The project will aim to develop appropriate transfer techniques and apply these to the different analytic techniques produced in ANRC 11-2. The project will conduct a development and implementation cycle ('transfer sprint') for a case-studies proposed by each ANRC industry partners. Milestone 4.1 - Identify and receive data-sets for industry case studies. Milestone 4.2 - Successful application to industry case-studies. Deliverable 2 - Demonstrations of WP1, WP2 and WP3, as applied to specific ANRC industry case studies ('transfer sprints') for specific partner(s). Deliverable 3 - Final demonstration(s) of outcomes from all work-packages for all ANRC partners at ANRC technical briefing session (or other).
Start Year 2021
 
Description Effective Transfer of Models and Analytic Techniques to Wider Applications 
Organisation Bruce Power
Country Canada 
Sector Private 
PI Contribution This project is focused on identifying techniques and approaches so that analytic models and algorithms can be more easily and rapidly applied to similar use cases. It is intended to draw upon the research field of "transfer learning" and ensure that this is used effectively within the wider programme's research and development projects.
Collaborator Contribution Case-studies and data were provided by partners for industrial case-study 'target domains'. Collaborating industry partners also supplied engineering expertise related to 'target domain' asset operation, failure mechanisms and associated fault diagnosis.
Impact Work Package 1 - Identification and Development of Appropriate Transfer Techniques Activity 1 - This activity will form the basis of all subsequent work as appropriate methods and techniques for transfer between source and target domains will be either adopted, adapted or developed. The aim of this activity is to both: create techniques that are relevant to the related case studies; and, to ensure they perform effectively in their task. Activity 2 - In order to develop, test and validate the proposed techniques a two-stage approach will be adopted. First the techniques will be developed using publicly available case-study datasets. Candidate datasets available for this project include: the NASA turbofan dataset; the PHM08 dataset; the MFPT bearing fault dataset, the Mathworks rolling element bearing fault dataset; and, the Case Western bearing fault dataset. These datasets are freely available, well curated, and extensively studied; therefore acting as a foundation from which to build experience and expertise. Once foundation understanding of the transfer techniques proposed, their pros and cons, and their limitations is gained, the developed techniques will be applied to real industry case studies (see Work Package 4 and Activity 6 below for this second stage) Milestone 1.1 - Relevant techniques identified. Milestone 1.2 - Successful application of WP1 to basic diagnostic case-study Work Package 2 - Transfer Visualisation and Interpretability Activity 3 - This activity will investigate, propose and demonstrate how the transfer techniques can be visualised/interpreted by an end-user that would ultimately adopt the output. The aim is to provide information on what the transfer process has done and how it has changed the underlying 'source' domain model. Activity 4 - Similar to Activity 2, initial techniques will be applied to publicly available data sets. Milestone 2.1 - Baseline techniques and visualisations identified. Milestone 2.2 - Successful application of WP2 to basic diagnostic case-study Work Package 3 -Transfer Performance and Effectiveness Measures Activity 5 - An indication of model transfer performance and suitability for the 'target' tasks will provide end-users with both a reference for expected performance of the 'transferred' model and an appreciation of any limitations resulting from adopting the transfer technique. Qualitative or quantitative (where appropriate) metrics will be investigated and applied to the case-studies under investigation, with visualisations displayed to the end-user as described in work package 2. Metrics for investigation will include divergence criteria such as 'f-divergences' and 'Bergmann Divergences' but it is expected that adapted or new metric will result from the research, for example expanding for higher dimensional analysis. Milestone 3.1 - Appropriate assessments and metrics identified/developed and applied. Milestone 3.2 - Assessments and metrics incorporated into visualisations. Deliverable 1 - Demonstration of WP1, WP2 and WP3 on public dataset case-study for collaborating industry partner(s). Work Package 4 - Implementation of Transfer Learning, Visualisation and Interpretability Activity 6 - During the timeframes associated with WP1, WP2 and WP3 the project will be continually developing, adapting and assessing transfer technologies relevant to the industry case-studies intended during WP4. During these initial project phases there will therefore be continuous scoping and engagement with industry partners, both to incrementally demonstrate the transfer technologies being developed and also to aid in scoping and identifying appropriate case-studies Activity 7 - For the industry case studies the source domain will be the dataset associated with ANRC 11-2 (feed pump analytics) and the target domains will be a suitably similar asset(s), to be defined by ANRC partners (who can supply the related dataset). The project will aim to develop appropriate transfer techniques and apply these to the different analytic techniques produced in ANRC 11-2. The project will conduct a development and implementation cycle ('transfer sprint') for a case-studies proposed by each ANRC industry partners. Milestone 4.1 - Identify and receive data-sets for industry case studies. Milestone 4.2 - Successful application to industry case-studies. Deliverable 2 - Demonstrations of WP1, WP2 and WP3, as applied to specific ANRC industry case studies ('transfer sprints') for specific partner(s). Deliverable 3 - Final demonstration(s) of outcomes from all work-packages for all ANRC partners at ANRC technical briefing session (or other).
Start Year 2021
 
Description Effective Transfer of Models and Analytic Techniques to Wider Applications 
Organisation Doosan Babcock
Country United Kingdom 
Sector Private 
PI Contribution This project is focused on identifying techniques and approaches so that analytic models and algorithms can be more easily and rapidly applied to similar use cases. It is intended to draw upon the research field of "transfer learning" and ensure that this is used effectively within the wider programme's research and development projects.
Collaborator Contribution Case-studies and data were provided by partners for industrial case-study 'target domains'. Collaborating industry partners also supplied engineering expertise related to 'target domain' asset operation, failure mechanisms and associated fault diagnosis.
Impact Work Package 1 - Identification and Development of Appropriate Transfer Techniques Activity 1 - This activity will form the basis of all subsequent work as appropriate methods and techniques for transfer between source and target domains will be either adopted, adapted or developed. The aim of this activity is to both: create techniques that are relevant to the related case studies; and, to ensure they perform effectively in their task. Activity 2 - In order to develop, test and validate the proposed techniques a two-stage approach will be adopted. First the techniques will be developed using publicly available case-study datasets. Candidate datasets available for this project include: the NASA turbofan dataset; the PHM08 dataset; the MFPT bearing fault dataset, the Mathworks rolling element bearing fault dataset; and, the Case Western bearing fault dataset. These datasets are freely available, well curated, and extensively studied; therefore acting as a foundation from which to build experience and expertise. Once foundation understanding of the transfer techniques proposed, their pros and cons, and their limitations is gained, the developed techniques will be applied to real industry case studies (see Work Package 4 and Activity 6 below for this second stage) Milestone 1.1 - Relevant techniques identified. Milestone 1.2 - Successful application of WP1 to basic diagnostic case-study Work Package 2 - Transfer Visualisation and Interpretability Activity 3 - This activity will investigate, propose and demonstrate how the transfer techniques can be visualised/interpreted by an end-user that would ultimately adopt the output. The aim is to provide information on what the transfer process has done and how it has changed the underlying 'source' domain model. Activity 4 - Similar to Activity 2, initial techniques will be applied to publicly available data sets. Milestone 2.1 - Baseline techniques and visualisations identified. Milestone 2.2 - Successful application of WP2 to basic diagnostic case-study Work Package 3 -Transfer Performance and Effectiveness Measures Activity 5 - An indication of model transfer performance and suitability for the 'target' tasks will provide end-users with both a reference for expected performance of the 'transferred' model and an appreciation of any limitations resulting from adopting the transfer technique. Qualitative or quantitative (where appropriate) metrics will be investigated and applied to the case-studies under investigation, with visualisations displayed to the end-user as described in work package 2. Metrics for investigation will include divergence criteria such as 'f-divergences' and 'Bergmann Divergences' but it is expected that adapted or new metric will result from the research, for example expanding for higher dimensional analysis. Milestone 3.1 - Appropriate assessments and metrics identified/developed and applied. Milestone 3.2 - Assessments and metrics incorporated into visualisations. Deliverable 1 - Demonstration of WP1, WP2 and WP3 on public dataset case-study for collaborating industry partner(s). Work Package 4 - Implementation of Transfer Learning, Visualisation and Interpretability Activity 6 - During the timeframes associated with WP1, WP2 and WP3 the project will be continually developing, adapting and assessing transfer technologies relevant to the industry case-studies intended during WP4. During these initial project phases there will therefore be continuous scoping and engagement with industry partners, both to incrementally demonstrate the transfer technologies being developed and also to aid in scoping and identifying appropriate case-studies Activity 7 - For the industry case studies the source domain will be the dataset associated with ANRC 11-2 (feed pump analytics) and the target domains will be a suitably similar asset(s), to be defined by ANRC partners (who can supply the related dataset). The project will aim to develop appropriate transfer techniques and apply these to the different analytic techniques produced in ANRC 11-2. The project will conduct a development and implementation cycle ('transfer sprint') for a case-studies proposed by each ANRC industry partners. Milestone 4.1 - Identify and receive data-sets for industry case studies. Milestone 4.2 - Successful application to industry case-studies. Deliverable 2 - Demonstrations of WP1, WP2 and WP3, as applied to specific ANRC industry case studies ('transfer sprints') for specific partner(s). Deliverable 3 - Final demonstration(s) of outcomes from all work-packages for all ANRC partners at ANRC technical briefing session (or other).
Start Year 2021
 
Description Effective Transfer of Models and Analytic Techniques to Wider Applications 
Organisation EDF Energy
Department EDF Energy Nuclear Generation
Country United Kingdom 
Sector Private 
PI Contribution This project is focused on identifying techniques and approaches so that analytic models and algorithms can be more easily and rapidly applied to similar use cases. It is intended to draw upon the research field of "transfer learning" and ensure that this is used effectively within the wider programme's research and development projects.
Collaborator Contribution Case-studies and data were provided by partners for industrial case-study 'target domains'. Collaborating industry partners also supplied engineering expertise related to 'target domain' asset operation, failure mechanisms and associated fault diagnosis.
Impact Work Package 1 - Identification and Development of Appropriate Transfer Techniques Activity 1 - This activity will form the basis of all subsequent work as appropriate methods and techniques for transfer between source and target domains will be either adopted, adapted or developed. The aim of this activity is to both: create techniques that are relevant to the related case studies; and, to ensure they perform effectively in their task. Activity 2 - In order to develop, test and validate the proposed techniques a two-stage approach will be adopted. First the techniques will be developed using publicly available case-study datasets. Candidate datasets available for this project include: the NASA turbofan dataset; the PHM08 dataset; the MFPT bearing fault dataset, the Mathworks rolling element bearing fault dataset; and, the Case Western bearing fault dataset. These datasets are freely available, well curated, and extensively studied; therefore acting as a foundation from which to build experience and expertise. Once foundation understanding of the transfer techniques proposed, their pros and cons, and their limitations is gained, the developed techniques will be applied to real industry case studies (see Work Package 4 and Activity 6 below for this second stage) Milestone 1.1 - Relevant techniques identified. Milestone 1.2 - Successful application of WP1 to basic diagnostic case-study Work Package 2 - Transfer Visualisation and Interpretability Activity 3 - This activity will investigate, propose and demonstrate how the transfer techniques can be visualised/interpreted by an end-user that would ultimately adopt the output. The aim is to provide information on what the transfer process has done and how it has changed the underlying 'source' domain model. Activity 4 - Similar to Activity 2, initial techniques will be applied to publicly available data sets. Milestone 2.1 - Baseline techniques and visualisations identified. Milestone 2.2 - Successful application of WP2 to basic diagnostic case-study Work Package 3 -Transfer Performance and Effectiveness Measures Activity 5 - An indication of model transfer performance and suitability for the 'target' tasks will provide end-users with both a reference for expected performance of the 'transferred' model and an appreciation of any limitations resulting from adopting the transfer technique. Qualitative or quantitative (where appropriate) metrics will be investigated and applied to the case-studies under investigation, with visualisations displayed to the end-user as described in work package 2. Metrics for investigation will include divergence criteria such as 'f-divergences' and 'Bergmann Divergences' but it is expected that adapted or new metric will result from the research, for example expanding for higher dimensional analysis. Milestone 3.1 - Appropriate assessments and metrics identified/developed and applied. Milestone 3.2 - Assessments and metrics incorporated into visualisations. Deliverable 1 - Demonstration of WP1, WP2 and WP3 on public dataset case-study for collaborating industry partner(s). Work Package 4 - Implementation of Transfer Learning, Visualisation and Interpretability Activity 6 - During the timeframes associated with WP1, WP2 and WP3 the project will be continually developing, adapting and assessing transfer technologies relevant to the industry case-studies intended during WP4. During these initial project phases there will therefore be continuous scoping and engagement with industry partners, both to incrementally demonstrate the transfer technologies being developed and also to aid in scoping and identifying appropriate case-studies Activity 7 - For the industry case studies the source domain will be the dataset associated with ANRC 11-2 (feed pump analytics) and the target domains will be a suitably similar asset(s), to be defined by ANRC partners (who can supply the related dataset). The project will aim to develop appropriate transfer techniques and apply these to the different analytic techniques produced in ANRC 11-2. The project will conduct a development and implementation cycle ('transfer sprint') for a case-studies proposed by each ANRC industry partners. Milestone 4.1 - Identify and receive data-sets for industry case studies. Milestone 4.2 - Successful application to industry case-studies. Deliverable 2 - Demonstrations of WP1, WP2 and WP3, as applied to specific ANRC industry case studies ('transfer sprints') for specific partner(s). Deliverable 3 - Final demonstration(s) of outcomes from all work-packages for all ANRC partners at ANRC technical briefing session (or other).
Start Year 2021
 
Description Main Boiler Feed Pump Analytics 
Organisation Alan Turing Institute
Country United Kingdom 
Sector Academic/University 
PI Contribution Requirements for analytics around main boiler feedpumps in nuclear power plants. Identification of data science visualisation and machine learning techniques that can be used for the power plant data. Initial visualisations of the data has revealed some typical behaviours of individual measurements, how they relate to one another, as well as how they have changed over the operational periods of the pump.
Collaborator Contribution The Weir Group have provided direct engineering expertise on the pumps, and insight into the data. EDF Energy have provided data from main boiler feedpumps. The Alan Turing Institute are providing assistance with the development and deployment of data science techniques.
Impact Initial visualisations of the data has revealed some typical behaviours of individual measurements, how they relate to one another, as well as how they have changed over the operational periods of the pump. Initial knowledge elicitation meetings to capture engineering knowledge complete - further meetings expected. Associated literature review on machine fault diagnosis for rotating plant compete. Prototype system user and functional specification document under development. Workshops between The University of Strathclyde and The Alan Turing Institute conducted to define work breakdown and tasking complete.
Start Year 2018
 
Description Main Boiler Feed Pump Analytics 
Organisation EDF Energy
Department EDF Energy Nuclear Generation
Country United Kingdom 
Sector Private 
PI Contribution Requirements for analytics around main boiler feedpumps in nuclear power plants. Identification of data science visualisation and machine learning techniques that can be used for the power plant data. Initial visualisations of the data has revealed some typical behaviours of individual measurements, how they relate to one another, as well as how they have changed over the operational periods of the pump.
Collaborator Contribution The Weir Group have provided direct engineering expertise on the pumps, and insight into the data. EDF Energy have provided data from main boiler feedpumps. The Alan Turing Institute are providing assistance with the development and deployment of data science techniques.
Impact Initial visualisations of the data has revealed some typical behaviours of individual measurements, how they relate to one another, as well as how they have changed over the operational periods of the pump. Initial knowledge elicitation meetings to capture engineering knowledge complete - further meetings expected. Associated literature review on machine fault diagnosis for rotating plant compete. Prototype system user and functional specification document under development. Workshops between The University of Strathclyde and The Alan Turing Institute conducted to define work breakdown and tasking complete.
Start Year 2018
 
Description Main Boiler Feed Pump Analytics 
Organisation Weir Group plc
Country United Kingdom 
Sector Private 
PI Contribution Requirements for analytics around main boiler feedpumps in nuclear power plants. Identification of data science visualisation and machine learning techniques that can be used for the power plant data. Initial visualisations of the data has revealed some typical behaviours of individual measurements, how they relate to one another, as well as how they have changed over the operational periods of the pump.
Collaborator Contribution The Weir Group have provided direct engineering expertise on the pumps, and insight into the data. EDF Energy have provided data from main boiler feedpumps. The Alan Turing Institute are providing assistance with the development and deployment of data science techniques.
Impact Initial visualisations of the data has revealed some typical behaviours of individual measurements, how they relate to one another, as well as how they have changed over the operational periods of the pump. Initial knowledge elicitation meetings to capture engineering knowledge complete - further meetings expected. Associated literature review on machine fault diagnosis for rotating plant compete. Prototype system user and functional specification document under development. Workshops between The University of Strathclyde and The Alan Turing Institute conducted to define work breakdown and tasking complete.
Start Year 2018
 
Description Ultrasonic Inspection and Monitoring for Challenging Industrial Welding Applications 
Organisation Babcock International Group
Country United Kingdom 
Sector Private 
PI Contribution Research and development of a prototype traffic-lighting system indicating weld quality, with a focus on beam steering and time of flight diffraction studies.
Collaborator Contribution Babcock International Group, EDF Energy and Bruce Power engineers have identified weld geometries to focus on, based on their applications and needs. They are also providing details and input on the industry standards for weld geometries and weld qualities that need to be incorporated into the project. Cranfield University are experts in fusion welding and are contributing knowledge on the weld process.
Impact Initial specifications of weld quality identification systems. Robot training for weld tool completed. Ultrasonic propagation modelling frame utilizing linear arrays developed. Rubber coupling material characterized acoustically for longitudinal properties. Thermal measurements for in-process welding on-going.
Start Year 2018
 
Description Ultrasonic Inspection and Monitoring for Challenging Industrial Welding Applications 
Organisation Bruce Power
Country Canada 
Sector Private 
PI Contribution Research and development of a prototype traffic-lighting system indicating weld quality, with a focus on beam steering and time of flight diffraction studies.
Collaborator Contribution Babcock International Group, EDF Energy and Bruce Power engineers have identified weld geometries to focus on, based on their applications and needs. They are also providing details and input on the industry standards for weld geometries and weld qualities that need to be incorporated into the project. Cranfield University are experts in fusion welding and are contributing knowledge on the weld process.
Impact Initial specifications of weld quality identification systems. Robot training for weld tool completed. Ultrasonic propagation modelling frame utilizing linear arrays developed. Rubber coupling material characterized acoustically for longitudinal properties. Thermal measurements for in-process welding on-going.
Start Year 2018
 
Description Ultrasonic Inspection and Monitoring for Challenging Industrial Welding Applications 
Organisation Cranfield University
Country United Kingdom 
Sector Academic/University 
PI Contribution Research and development of a prototype traffic-lighting system indicating weld quality, with a focus on beam steering and time of flight diffraction studies.
Collaborator Contribution Babcock International Group, EDF Energy and Bruce Power engineers have identified weld geometries to focus on, based on their applications and needs. They are also providing details and input on the industry standards for weld geometries and weld qualities that need to be incorporated into the project. Cranfield University are experts in fusion welding and are contributing knowledge on the weld process.
Impact Initial specifications of weld quality identification systems. Robot training for weld tool completed. Ultrasonic propagation modelling frame utilizing linear arrays developed. Rubber coupling material characterized acoustically for longitudinal properties. Thermal measurements for in-process welding on-going.
Start Year 2018
 
Description Ultrasonic Inspection and Monitoring for Challenging Industrial Welding Applications 
Organisation EDF Energy
Department EDF Energy Nuclear Generation
Country United Kingdom 
Sector Private 
PI Contribution Research and development of a prototype traffic-lighting system indicating weld quality, with a focus on beam steering and time of flight diffraction studies.
Collaborator Contribution Babcock International Group, EDF Energy and Bruce Power engineers have identified weld geometries to focus on, based on their applications and needs. They are also providing details and input on the industry standards for weld geometries and weld qualities that need to be incorporated into the project. Cranfield University are experts in fusion welding and are contributing knowledge on the weld process.
Impact Initial specifications of weld quality identification systems. Robot training for weld tool completed. Ultrasonic propagation modelling frame utilizing linear arrays developed. Rubber coupling material characterized acoustically for longitudinal properties. Thermal measurements for in-process welding on-going.
Start Year 2018
 
Description Zero Assumption Non-Destructive Evaluation (ZANDE) 
Organisation Babcock International Group
Country United Kingdom 
Sector Private 
PI Contribution The project builds upon existing University of Strathclyde knowledge: 1. Concepts of generalised NDE toolsets for robotics, and parts of an integrated manufacturing NDE process (10 years of development of a custom robotic platform incorporating integrated NDE probe system and 6 years in fixed base manipulators); 2. Automated robot trajectory planning for complex geometries (commercial and in-house developments); 3. Surface profile measurements when CAD models not available (to construct CAD models for automated trajectory planning for NDE); 4. Robot integration and coordination of external metrology/measurement technologies for spatial data location/registration; 5. Real time compensation/adaptive control of NDE delivery robots in response to measured metrology data - use of generalised probabilistic framework for data combination/fusion; 6. Use of NDE data as both NDE and metrology data (localised feature extraction for use as spatial feedback) - Using reflections from material interfaces (component edges) to provide spatial feedback and resultant ray-traced corrected Total Focussing Method (TFM) for complex shapes. 7. "On-the-fly" focal law modification for ultrasonic imaging; 8. Real time curved interface TFM and associated off-line reconstruction algorithms for Full Matrix Capture (FMC) ultrasonic approaches; 9. Control strategies for multiple robot systems; 10. Automated defect recognition (pattern recognition based); 11. NDE data presentation/visualisation, including overlay in to CAD geometries and 3D display; 12. Calibration of external metrology systems using laser trackers/range finders and common target approach; 13. Know-how and expertise in the form of robot designs, circuit designs and copyrighted software code; 14. Real time sensor data acquisition and signal processing (both mobile and fixed) for NDE, obstacle avoidance, positional estimation and mapping; 15. Wired and wireless low powered monitoring and data logging/acquisition system design and software; 16. Non-contact ultrasonic transducer design, manufacture and operation in industrial applications;
Collaborator Contribution The ultimate aim of the research is to deploy new/novel methods of automated Non-Destructive Evaluation (NDE). The aim is to deploy this technology on the sites operated by Babcock International Group, EDF Energy, and Bruce Power. These organisations have hence been working with the project team to identify and define suitable case studies for the development and deployment of the technology. The real industrial knowledge and understanding provided by engineers from each of the aforementioned organisations is ensuring that there is a real engineering problem to be addressed. Kinectrics are a service supplier to the operational organisations mentioned above. Kinectrics are working with the project team to ensure that the technology developed can be adopted by a relevant service supplier to deploy a suitable solution on site. Kinectrics are contributing their knowledge on how to best deploy technologies to the operational organisations and with the regulator to the industry also. The UK Research Center for Non-Destructive Evaluation (RCNDE) are partnered in this project as they have the same goals in the research, i.e. new/novel forms of NDE. The RCNDE are a funding body and are funding 1 year (of 3) of the research.
Impact The collaborating partners have held meetings to identify the case study geometries for the technology development. This will form the basis for one (or two) 'mock-ups' that will be developed in the University laboratory.
Start Year 2018
 
Description Zero Assumption Non-Destructive Evaluation (ZANDE) 
Organisation Bruce Power
Country Canada 
Sector Private 
PI Contribution The project builds upon existing University of Strathclyde knowledge: 1. Concepts of generalised NDE toolsets for robotics, and parts of an integrated manufacturing NDE process (10 years of development of a custom robotic platform incorporating integrated NDE probe system and 6 years in fixed base manipulators); 2. Automated robot trajectory planning for complex geometries (commercial and in-house developments); 3. Surface profile measurements when CAD models not available (to construct CAD models for automated trajectory planning for NDE); 4. Robot integration and coordination of external metrology/measurement technologies for spatial data location/registration; 5. Real time compensation/adaptive control of NDE delivery robots in response to measured metrology data - use of generalised probabilistic framework for data combination/fusion; 6. Use of NDE data as both NDE and metrology data (localised feature extraction for use as spatial feedback) - Using reflections from material interfaces (component edges) to provide spatial feedback and resultant ray-traced corrected Total Focussing Method (TFM) for complex shapes. 7. "On-the-fly" focal law modification for ultrasonic imaging; 8. Real time curved interface TFM and associated off-line reconstruction algorithms for Full Matrix Capture (FMC) ultrasonic approaches; 9. Control strategies for multiple robot systems; 10. Automated defect recognition (pattern recognition based); 11. NDE data presentation/visualisation, including overlay in to CAD geometries and 3D display; 12. Calibration of external metrology systems using laser trackers/range finders and common target approach; 13. Know-how and expertise in the form of robot designs, circuit designs and copyrighted software code; 14. Real time sensor data acquisition and signal processing (both mobile and fixed) for NDE, obstacle avoidance, positional estimation and mapping; 15. Wired and wireless low powered monitoring and data logging/acquisition system design and software; 16. Non-contact ultrasonic transducer design, manufacture and operation in industrial applications;
Collaborator Contribution The ultimate aim of the research is to deploy new/novel methods of automated Non-Destructive Evaluation (NDE). The aim is to deploy this technology on the sites operated by Babcock International Group, EDF Energy, and Bruce Power. These organisations have hence been working with the project team to identify and define suitable case studies for the development and deployment of the technology. The real industrial knowledge and understanding provided by engineers from each of the aforementioned organisations is ensuring that there is a real engineering problem to be addressed. Kinectrics are a service supplier to the operational organisations mentioned above. Kinectrics are working with the project team to ensure that the technology developed can be adopted by a relevant service supplier to deploy a suitable solution on site. Kinectrics are contributing their knowledge on how to best deploy technologies to the operational organisations and with the regulator to the industry also. The UK Research Center for Non-Destructive Evaluation (RCNDE) are partnered in this project as they have the same goals in the research, i.e. new/novel forms of NDE. The RCNDE are a funding body and are funding 1 year (of 3) of the research.
Impact The collaborating partners have held meetings to identify the case study geometries for the technology development. This will form the basis for one (or two) 'mock-ups' that will be developed in the University laboratory.
Start Year 2018
 
Description Zero Assumption Non-Destructive Evaluation (ZANDE) 
Organisation EDF Energy
Country United Kingdom 
Sector Private 
PI Contribution The project builds upon existing University of Strathclyde knowledge: 1. Concepts of generalised NDE toolsets for robotics, and parts of an integrated manufacturing NDE process (10 years of development of a custom robotic platform incorporating integrated NDE probe system and 6 years in fixed base manipulators); 2. Automated robot trajectory planning for complex geometries (commercial and in-house developments); 3. Surface profile measurements when CAD models not available (to construct CAD models for automated trajectory planning for NDE); 4. Robot integration and coordination of external metrology/measurement technologies for spatial data location/registration; 5. Real time compensation/adaptive control of NDE delivery robots in response to measured metrology data - use of generalised probabilistic framework for data combination/fusion; 6. Use of NDE data as both NDE and metrology data (localised feature extraction for use as spatial feedback) - Using reflections from material interfaces (component edges) to provide spatial feedback and resultant ray-traced corrected Total Focussing Method (TFM) for complex shapes. 7. "On-the-fly" focal law modification for ultrasonic imaging; 8. Real time curved interface TFM and associated off-line reconstruction algorithms for Full Matrix Capture (FMC) ultrasonic approaches; 9. Control strategies for multiple robot systems; 10. Automated defect recognition (pattern recognition based); 11. NDE data presentation/visualisation, including overlay in to CAD geometries and 3D display; 12. Calibration of external metrology systems using laser trackers/range finders and common target approach; 13. Know-how and expertise in the form of robot designs, circuit designs and copyrighted software code; 14. Real time sensor data acquisition and signal processing (both mobile and fixed) for NDE, obstacle avoidance, positional estimation and mapping; 15. Wired and wireless low powered monitoring and data logging/acquisition system design and software; 16. Non-contact ultrasonic transducer design, manufacture and operation in industrial applications;
Collaborator Contribution The ultimate aim of the research is to deploy new/novel methods of automated Non-Destructive Evaluation (NDE). The aim is to deploy this technology on the sites operated by Babcock International Group, EDF Energy, and Bruce Power. These organisations have hence been working with the project team to identify and define suitable case studies for the development and deployment of the technology. The real industrial knowledge and understanding provided by engineers from each of the aforementioned organisations is ensuring that there is a real engineering problem to be addressed. Kinectrics are a service supplier to the operational organisations mentioned above. Kinectrics are working with the project team to ensure that the technology developed can be adopted by a relevant service supplier to deploy a suitable solution on site. Kinectrics are contributing their knowledge on how to best deploy technologies to the operational organisations and with the regulator to the industry also. The UK Research Center for Non-Destructive Evaluation (RCNDE) are partnered in this project as they have the same goals in the research, i.e. new/novel forms of NDE. The RCNDE are a funding body and are funding 1 year (of 3) of the research.
Impact The collaborating partners have held meetings to identify the case study geometries for the technology development. This will form the basis for one (or two) 'mock-ups' that will be developed in the University laboratory.
Start Year 2018
 
Description Zero Assumption Non-Destructive Evaluation (ZANDE) 
Organisation Kinectrics Ltd
Country Canada 
Sector Private 
PI Contribution The project builds upon existing University of Strathclyde knowledge: 1. Concepts of generalised NDE toolsets for robotics, and parts of an integrated manufacturing NDE process (10 years of development of a custom robotic platform incorporating integrated NDE probe system and 6 years in fixed base manipulators); 2. Automated robot trajectory planning for complex geometries (commercial and in-house developments); 3. Surface profile measurements when CAD models not available (to construct CAD models for automated trajectory planning for NDE); 4. Robot integration and coordination of external metrology/measurement technologies for spatial data location/registration; 5. Real time compensation/adaptive control of NDE delivery robots in response to measured metrology data - use of generalised probabilistic framework for data combination/fusion; 6. Use of NDE data as both NDE and metrology data (localised feature extraction for use as spatial feedback) - Using reflections from material interfaces (component edges) to provide spatial feedback and resultant ray-traced corrected Total Focussing Method (TFM) for complex shapes. 7. "On-the-fly" focal law modification for ultrasonic imaging; 8. Real time curved interface TFM and associated off-line reconstruction algorithms for Full Matrix Capture (FMC) ultrasonic approaches; 9. Control strategies for multiple robot systems; 10. Automated defect recognition (pattern recognition based); 11. NDE data presentation/visualisation, including overlay in to CAD geometries and 3D display; 12. Calibration of external metrology systems using laser trackers/range finders and common target approach; 13. Know-how and expertise in the form of robot designs, circuit designs and copyrighted software code; 14. Real time sensor data acquisition and signal processing (both mobile and fixed) for NDE, obstacle avoidance, positional estimation and mapping; 15. Wired and wireless low powered monitoring and data logging/acquisition system design and software; 16. Non-contact ultrasonic transducer design, manufacture and operation in industrial applications;
Collaborator Contribution The ultimate aim of the research is to deploy new/novel methods of automated Non-Destructive Evaluation (NDE). The aim is to deploy this technology on the sites operated by Babcock International Group, EDF Energy, and Bruce Power. These organisations have hence been working with the project team to identify and define suitable case studies for the development and deployment of the technology. The real industrial knowledge and understanding provided by engineers from each of the aforementioned organisations is ensuring that there is a real engineering problem to be addressed. Kinectrics are a service supplier to the operational organisations mentioned above. Kinectrics are working with the project team to ensure that the technology developed can be adopted by a relevant service supplier to deploy a suitable solution on site. Kinectrics are contributing their knowledge on how to best deploy technologies to the operational organisations and with the regulator to the industry also. The UK Research Center for Non-Destructive Evaluation (RCNDE) are partnered in this project as they have the same goals in the research, i.e. new/novel forms of NDE. The RCNDE are a funding body and are funding 1 year (of 3) of the research.
Impact The collaborating partners have held meetings to identify the case study geometries for the technology development. This will form the basis for one (or two) 'mock-ups' that will be developed in the University laboratory.
Start Year 2018
 
Description Zero Assumption Non-Destructive Evaluation (ZANDE) 
Organisation RCNDE
Country United Kingdom 
Sector Academic/University 
PI Contribution The project builds upon existing University of Strathclyde knowledge: 1. Concepts of generalised NDE toolsets for robotics, and parts of an integrated manufacturing NDE process (10 years of development of a custom robotic platform incorporating integrated NDE probe system and 6 years in fixed base manipulators); 2. Automated robot trajectory planning for complex geometries (commercial and in-house developments); 3. Surface profile measurements when CAD models not available (to construct CAD models for automated trajectory planning for NDE); 4. Robot integration and coordination of external metrology/measurement technologies for spatial data location/registration; 5. Real time compensation/adaptive control of NDE delivery robots in response to measured metrology data - use of generalised probabilistic framework for data combination/fusion; 6. Use of NDE data as both NDE and metrology data (localised feature extraction for use as spatial feedback) - Using reflections from material interfaces (component edges) to provide spatial feedback and resultant ray-traced corrected Total Focussing Method (TFM) for complex shapes. 7. "On-the-fly" focal law modification for ultrasonic imaging; 8. Real time curved interface TFM and associated off-line reconstruction algorithms for Full Matrix Capture (FMC) ultrasonic approaches; 9. Control strategies for multiple robot systems; 10. Automated defect recognition (pattern recognition based); 11. NDE data presentation/visualisation, including overlay in to CAD geometries and 3D display; 12. Calibration of external metrology systems using laser trackers/range finders and common target approach; 13. Know-how and expertise in the form of robot designs, circuit designs and copyrighted software code; 14. Real time sensor data acquisition and signal processing (both mobile and fixed) for NDE, obstacle avoidance, positional estimation and mapping; 15. Wired and wireless low powered monitoring and data logging/acquisition system design and software; 16. Non-contact ultrasonic transducer design, manufacture and operation in industrial applications;
Collaborator Contribution The ultimate aim of the research is to deploy new/novel methods of automated Non-Destructive Evaluation (NDE). The aim is to deploy this technology on the sites operated by Babcock International Group, EDF Energy, and Bruce Power. These organisations have hence been working with the project team to identify and define suitable case studies for the development and deployment of the technology. The real industrial knowledge and understanding provided by engineers from each of the aforementioned organisations is ensuring that there is a real engineering problem to be addressed. Kinectrics are a service supplier to the operational organisations mentioned above. Kinectrics are working with the project team to ensure that the technology developed can be adopted by a relevant service supplier to deploy a suitable solution on site. Kinectrics are contributing their knowledge on how to best deploy technologies to the operational organisations and with the regulator to the industry also. The UK Research Center for Non-Destructive Evaluation (RCNDE) are partnered in this project as they have the same goals in the research, i.e. new/novel forms of NDE. The RCNDE are a funding body and are funding 1 year (of 3) of the research.
Impact The collaborating partners have held meetings to identify the case study geometries for the technology development. This will form the basis for one (or two) 'mock-ups' that will be developed in the University laboratory.
Start Year 2018
 
Title Electrical Equipment Analytics 
Description The transformer analytic methods developed though the Operational Intelligence research theme and deployed by Bruce Power are currently under license negotiations with a 3rd party international company for commercial deployment in their business offerings. Discussions are also underway with an additional analytics company in the UK to implement the diagnostics framework within EDF Energy's chosen transformer analytics platform. 
IP Reference  
Protection Copyrighted (e.g. software)
Year Protection Granted 2020
Licensed Yes
Impact Too early to say but expect reduction in diagnostic time and increase accuracy of diagnostic result. This will result in cost savings for existing industrial partners and new revenue for the third-party if/when the service is sold to additional organisations.
 
Title A novel dry-coupled high-temperature Phased-Array Ultra-Sonic (PAUT) probe 
Description The designed probe supports the related project to determine the health of welds during in-process fusion welding. 
Type Of Technology Systems, Materials & Instrumental Engineering 
Year Produced 2019 
Impact This resulted in the ability to identify fault positive readings potentially resulting during the weld inspection. 
 
Title Bacteria Growth Medium Formulation 
Description Growth medium formulation developed for use by industrial partner, BAM Nuttall. 
Type Of Technology New/Improved Technique/Technology 
Year Produced 2020 
Impact Provides significant cost savings in the production of bacteria 
 
Title Bruce Power Data Analytic Software Demonstrators 
Description - Code and tools for extracting, analysing and scaling fuelling machine data (fuelling machine log data analysis) - Prototype dashboard implementing engineer-led fuelling machine metrics (Power BI prototype implementing the code above) - On-demand analysis of fuel reliability data to support engineering decision making (running ad-hoc dataset from fuel defects to compare model outputs with engineering insights) - Prototype sensor degradation tool updated to feature multiple models for field testing (an interface for testing the electrical/sensor failure trained models against more data) - Proof of Concept Site Condition Report Classification Tools (code to support automating the classification and assignment of fault reports) 
Type Of Technology Software 
Year Produced 2021 
Impact Multiple software demonstrators/tools have been delivered to Bruce Power to support the decision making associated with the operation of plant/assets on different power stations/units. This is helping Bruce Power operate their stations more effectively. 
 
Title Demonstrator software tools developed for advanced transformer diagnostics 
Description Software delivered to industrial partners, and currently being implemented for further testing by EDF and Bruce Power 
Type Of Technology Systems, Materials & Instrumental Engineering 
Year Produced 2019 
Impact Improved transfer diagnostic methods developed, toolsets and software successfully produced, evaluated, demonstrated and validated on legacy transformer data. Industrial partners in process of implementing software toolsets for fleet transformer heath assessment 
 
Title In-process NDE Weld Inspection 
Description In-process NDE activities directly at the point of manufacture. 
Type Of Technology New/Improved Technique/Technology 
Year Produced 2021 
Impact Reduced re-work, scheduled certainty and defect-free welds. 
 
Title Robotic Prototype of Deployed EMATs and SLAM Boundary Mapping Algorithm 
Description A prototype of the ElectroMagnetic Acoustic Transducers (EMATs) implemented on an appropraite robotic crawler 
Type Of Technology Systems, Materials & Instrumental Engineering 
Year Produced 2019 
Impact The ability to automatically map the geometry of a structure under inspection while simultaneously identifying any significant areas requiring further inspection attention. 
 
Title Technical Demonstrators for Vibration Monitoring of Rotating Plant 
Description Project 11-2 has produced 6 software based technical demonstrators, which have been delivered to EDF Energy and demonstrate an option for the deployment of the underpinning research. These demonstrators cover a range of Data Analytic and Machine Learning techniques developed as part of the project. 
Type Of Technology Software 
Year Produced 2019 
Impact When the software is deployed industrially it will lead to reductions in time-based maintenance strategies and the ability to better plan for future maintenance interventions. 
 
Description National BINDT News Press Release 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact The British Institute of Non-Destructive Testing (BINDT) created a press release to inform its international readership of the success in progressing fundamental research into a multimillion pound innovation project. This is being developed with both industry and academic partners.
Year(s) Of Engagement Activity 2020
URL https://www.bindt.org/News/November-2020/advanced-nuclear-research-centres-manufacturing-project-awe...
 
Description - Presentation to Kinectrics engineers and Senior managers: "Methods of Improved Power Transformer Diagnostics" 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact A presentation and discussion was held with an industrial partners to describe the outputs from a research project and determine how the research could be adopted and implemented. The event was held virtually with approximately 30 people attending from both the UK and Canada.
Year(s) Of Engagement Activity 2020
 
Description 45th Annual Review of Progress in Quantitative Nondestructive Evaluation 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Presentation at an international Conference entitled: Intentional weld defect process: from manufacturing by ??robotic welding machine to inspection ?using TFM phased ??array.
Year(s) Of Engagement Activity 2018
 
Description BSI Standard Workshop 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact Investigators on the Prosperity Partnership grant were invited to attend a workshop developing the British Standard Institute (BSI) Publicly Available Specification (PAS) guide for NDT of directed energy deposition (DED).
Year(s) Of Engagement Activity 2019
 
Description Bruce Power Engineering All Hands Meeting 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Professor Stephen McArthur and Dr Graeme West presented the research within the Prosperity Partnership to the Bruce Power Engineering All Hands Meeting. This is the meeting of all engineering personnel who work for Bruce Power, and it was held at the Bruce Power plant, Kincardine, Ontario. The challenges being tackled through research, and how this will deliver impact into Bruce Power was covered by both speakers.
Year(s) Of Engagement Activity 2018
 
Description EDF Workshop Sessions at EDF Barnwood 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact A set of workshops with EDF engineers and technology managers from specific areas (Waste & Decom, Graphite, Inspection/NDT, C&I and Electrical, Plant Engineering and Data and Civil & Environment). Discussions held on technical challenges they experience that are related to the research programme and the capability the programmme partnership has developed to address some of these issues. Scoping for potential future work was also conducted. This involved presenting experience from previous/on-going programme projects and trying to identify re-usable tools and technologies that could be re-applied to solve other problems.
Year(s) Of Engagement Activity 2020
 
Description EPSRC online video to promote the Prosperity Partnership programme 
Form Of Engagement Activity A broadcast e.g. TV/radio/film/podcast (other than news/press)
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Online video describing the Prosperity Partnership video
Year(s) Of Engagement Activity 2017
URL https://epsrc.ukri.org/newsevents/multimedia/ppstrathclydebabcock/
 
Description Energiforsk UK Visit 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact A delegation from Energiforsk toured the UK to investigate engaging with best practice research organisations. The Prosperity Partnership was demonstrated as an exemplar of collaborative academia-industry collaboration in research.
Year(s) Of Engagement Activity 2020
 
Description Glasgow Explorathon 2018 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Public/other audiences
Results and Impact Kieran Tierney demonstrated at the Glasgow Explorathon 2017 (part of the European Researchers Night) with research scientists from other institutes to engage the public on isotope chemistry. Kieran's role was to discuss radioactivity and radionuclides such as radiocarbon via interactive games and posters which drew in many of the hundreds of attendees.
Year(s) Of Engagement Activity 2017
 
Description Image presented for use in Strathclyde 'Images of Research' competition 2020 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Postgraduate students
Results and Impact This is an annual event held at The University of Strathclyde were photographic representation of research is used to convey the underlying principles.
Year(s) Of Engagement Activity 2020
 
Description Industry Technology Launch Event 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact In collaboration with Cavendish Nuclear Robotic NDE technology was showcased at a industry technology launch event (U-Battery).
Year(s) Of Engagement Activity 2021
URL https://www.u-battery.com/
 
Description Invited Speaker at Annual Goldschmit Conference 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact A research fellow on the programme was invited to give a speech at a prestigious annual conference in the related field of research.
Year(s) Of Engagement Activity 2019
 
Description Keynote Presentation on "Digitilisation in Nuclear - Harnessing Data Science for Enhanced Through Life Management of Nuclear Plants" 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Keynote presentation at the Energiforsk Annual Nuclear Conference 2018, Stockholm, Sweden.
Year(s) Of Engagement Activity 2018
URL http://www.energiforsk.se/program/omvarldsbevakning-karnkraft/nyheter/ny-karnkraftsteknik/digitaliza...
 
Description Nuclear Regulator Visit (ONR) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Policymakers/politicians
Results and Impact The Office for Nuclear Regulation (ONR) attended the University of Strathclyde to assess collaborative working practices. The Prosperity Partnership will demonstrated as an effective conduit for academic-industry research collaboration.
Year(s) Of Engagement Activity 2020
 
Description Presentation at 11th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT) 2019, American Nuclear Society (1) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact A presentation entitled: Automatic Anomaly Detection in Fuel Grab Load Trace Data Using a Knowledge- Based System vs. Multiple Deep Autoencoders, was conducted at the 11th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT) 2019, American Nuclear Society.
Year(s) Of Engagement Activity 2019
 
Description Presentation at 11th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT) 2019, American Nuclear Society (2) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Presentation entitled: Experience, Testing and Future Development of an Ultrasonic Inspection Analysis Defect Decision Support Tool for CANDU Reactors, at the 11th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT) 2019, American Nuclear Society.
Year(s) Of Engagement Activity 2019
 
Description Presentation at 11th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT) 2019, American Nuclear Society (3) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Presentation entitled: Towards a Data Analytics Framework for Medium Voltage Power Cable Lifetime Management, at the 11th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT) 2019, American Nuclear Society
Year(s) Of Engagement Activity 2019
 
Description Presentation at British Institute of Non-destructive Testing Annual Conference 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact A presentation entitled: Ultrasonic phased array inspection of wire plus arc additive manufacture ??(WAAM) samples using conventional and total focusing method (TFM) ?imaging approaches, was conducted at the British Institute of Non-destructive Testing Annual Conference: NDT 2018
Year(s) Of Engagement Activity 2018
 
Description Profile Article in The Manufacturer Magazine/Website 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact Publicity article in Magazine/Website
Year(s) Of Engagement Activity 2017
URL https://www.themanufacturer.com/articles/4-2m-consortium-make-nuclear-power-safer-reliable/
 
Description RSC Symposium Glasgow 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Other audiences
Results and Impact Kieran Tierney provided an overview of the project at the RSC's Scottish Analytical Division symposium on Analytical and Environmental Chemistry at the University of Glasgow which resulted in a general discussion with several interested attendees.
Year(s) Of Engagement Activity 2018
 
Description Research Representation in National Newsletter 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact A conference paper was (re-)published in a monthly national technology newsletter. This newsletter is circulated to 1000s of related subject matter experts both in the UK and internationally. This provided wide coverage of the research and the related programme.
Year(s) Of Engagement Activity 2021
 
Description Research Showcase Event - Advanced Nuclear Research Centre Annual Showcase 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Research being conducted as part of the Prosperity Partnership was showcased at a University hosted event on the 30th August 2018. This event was attended by approximately 150 delegates from a range of organisations including the academic and industrial partners named on the grant, but also additional researchers, academics, industrialists and government agencies interested in the on-going research. The aim of the event was to update all stakeholders on programme progress and also increase the visibility of research associated with the grant to a wider audience. The event was also taken as an opportunity to hold governance meetings associated with the programme in question.
Year(s) Of Engagement Activity 2018
 
Description Talk ABB Corporate Research - Data Analytics for Appropriately Monitored Power System Assests 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Dr Bruce Stephen, Senior Research Fellow on Prosperity Partnership grant was invited to give a talk in association with ETH Zurich on research related to the Prosperity Partnership grant. This talk has given during a visit to ABB Corporate Research, Baden, Switzerland. Expected output and impact form the talk and subsequent discussions is international project collaboration, both academic and industrial, with ABB, ETH and a UK DNO partner.
Year(s) Of Engagement Activity 2018
 
Description Talk at Automation Showcase Event 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Dr Charles MacLeod was invited to give a presentation during the HIE Automation Showcase Event to detail advances in the automation of NDT techniques. The event was well attended by a number of industries, the presentation was well received, and highlighted the contribution to the field that Strathclyde University is making through support from the Prosperity Partnership and the EPSRC.
Year(s) Of Engagement Activity 2019
 
Description Talk at ETH Zurich - Power System Asset Management: Practical Considerations for Data Analytics 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Dr Bruce Stephen, Senior Research Fellow on Prosperity Partnership grant was invited to give a talk at ETH Zurich on the related research of the grant. Expected output and impact form the talk and subsequent discussions is international project collaboration with ETH Zurich.
Year(s) Of Engagement Activity 2018
 
Description Workshop for Cavendish Nuclear/Babcock engineers on "Power Transformer Diagnostics" and "Cable Diagnostics" 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact A workshop was held with related technical subject matter experts from Babcock International Group and Cavendish Nuclear to discuss and investigate appropriate means of translating relevant aspects of the research into their organisations. The event was attended by approximately 20 engineers and technology managers from various locations around the UK.
Year(s) Of Engagement Activity 2020
 
Description World First Technology Demonstration Event 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact Upon successful completion of the underpinning research activities, a world-first demonstration of the integrated hardware-software technology system solution was provide for the collaborating industry partners at the University of Strathclyde.
Year(s) Of Engagement Activity 2021