Robert Gordon University and ADC Energy Limited KTP 22_23 R4
Lead Participant:
ROBERT GORDON UNIVERSITY
Abstract
To create an intelligent decision support system utilising large volumes of existing sensory data to inform condition monitoring, faults prediction and predictive maintenance. To provide asset owners with more intelligent tools for assessing drilling assets' integrity, faults prediction and condition monitoring and enable a data-driven approach for planning maintenance.
Lead Participant | Project Cost | Grant Offer |
|---|---|---|
| ROBERT GORDON UNIVERSITY | £276,508 | £ 185,260 |
People |
ORCID iD |
| Emma Craig (Project Manager) |