University of Strathclyde and Turner Iceni Limited
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University of Strathclyde and Turner Iceni Limited
CoPED ID
27e80156-76e3-499b-b21e-694db4b0f190
Status
Closed
Funders
Value
£196,580
Start Date
March 31, 2019
End Date
April 29, 2021
Description
To embed knowledge in wind turbine condition monitoring, failure prediction, and remaining useful life prediction, based on data driven machine learning and physical modelling approaches, to develop an advanced condition monitoring modelling system for wind turbines.
| University of Strathclyde | LEAD_ORG |
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Subjects by relevance
- Machine learning
- Modelling (creation related to information)
- Turbines
- Condition monitoring
- Forecasts
- Data systems
- Monitoring
- Wind power stations
- Wind
- Wind energy
Extracted key phrases
- Wind turbine condition monitoring
- Advanced condition monitoring modelling system
- Turner Iceni Limited
- Useful life prediction
- Physical modelling approach
- Failure prediction
- University
- Machine learning
- Knowledge