Project cooperationUpdated on 27 November 2023
Artificial Intelligence Enhanced Superior Lubrication System
About
The project builds on patented sensor and oil filtration technology to create an integrated ‘intelligent lubrication’ system, powered by AI. The project represents a step-change in lubrication performance monitoring and management by moving oil monitoring away from costly, single-point manual sampling to continuous monitoring, analysis and insight generation, inline with an advanced oil filtration system. The system will provide customers with a live view of oil health, diagnose anomalous behaviour and maintain oil in an ultra clean state. Maintaining oil cleanliness at this condition, which hasn't been done before, results in potential reductions in mechanical wear by up to 93%.
This will greatly reduce major turbine component failure rates and positively influence the LCOE of wind energy. The solution also enables a significant reduction in carbon emissions compared to current practice. The technology will reduce the requirement for oil changes by a factor of 5 and virtually eliminates the main reason for anyone needing to access the turbine.
Similar opportunities
Project cooperation
Project Luminar: Advancing Turbine Health Monitoring with Drone-Deployed Metrology
- Early
- Research
- Operation & Maintenance (O&M) Systems Development
Waiel Elmadih
Managing Director at Taraz Metrology
Nottingham, United Kingdom
Project cooperation
Machine learning component diagnostics
- Early
- Research
- Technical
- Pilotting
- Operation & Maintenance (O&M) Systems Development
Alex Carter
Senior Test Engineer at Bluefruit Software Ltd
Redruth, Cornwall, United Kingdom