Monitoring asset performance with AURAalert
Lead Participant:
CYBULA LIMITED
Abstract
The benefits of installing on-line asset monitoring systems cannot be fully realised without the development of novel, analytical tools which can extract knowledge across multiple, archived and large time-based data sources.
During this project, Cybula, an SME focusing on the development of large data analytics, together with Sim-Soft, an SME offering pipeline detection monitoring services to the oil & gas industry, propose to further develop and test AURAalert, novel abnormality detection software. This tool provides alerting of abnormal behaviour of complex systems by comparing against a large, reference data store. The technique can be used across a range of assets but in this proposal, the aim is to provide the enhanced alerting performance being demanded by pipeline operators. Data from a number of Sim-Soft’s existing installations will be used for this study.
During this project, Cybula, an SME focusing on the development of large data analytics, together with Sim-Soft, an SME offering pipeline detection monitoring services to the oil & gas industry, propose to further develop and test AURAalert, novel abnormality detection software. This tool provides alerting of abnormal behaviour of complex systems by comparing against a large, reference data store. The technique can be used across a range of assets but in this proposal, the aim is to provide the enhanced alerting performance being demanded by pipeline operators. Data from a number of Sim-Soft’s existing installations will be used for this study.
Lead Participant | Project Cost | Grant Offer |
---|---|---|
CYBULA LIMITED | £69,389 | £ 51,653 |
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Participant |
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SIMULATION SOFTWARE LTD | £29,907 | £ 22,403 |
INNOVATE UK |
People |
ORCID iD |
Tom Jackson (Project Manager) |