EPSRC Reference: |
GR/J51764/01 |
Title: |
BLADE CONDITION MONITORING OF A WIND TURBINE USING HIGH ORDER SPECTRAL ESTIMATION TECHNIQUES |
Principal Investigator: |
Coonick, Dr A |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Electrical and Electronic Engineering |
Organisation: |
Imperial College London |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
10 June 1994 |
Ends: |
09 July 1996 |
Value (£): |
90,988
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EPSRC Research Topic Classifications: |
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EPSRC Industrial Sector Classifications: |
Energy |
No relevance to Underpinning Sectors |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The 17m, 45kw wind turbine (WT) at RAL is to be used as a test bed for the development of a blade condition monitoring system using non invasive (electrical) transducers and High Order Spectral Estimation techniques. Electrical power data is to be analysised offline using HOSE techniques to characterise the unmodified WT. Additional accelerometers mounted along a blade will provide details of frequencies that characterise its foot print . The instrumented blade will then be modified (via additional weight) and the HOSE techniques will be used to identify changes to the model (accelerometer data again being used to validate the HOSE method). A method will, therefore, be formulated to condition monitor the blades of any WT solely from its electrical power signals. The applicability of such methods to other electromechanical components will also be considered in the light of the results obtained from this project.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.imperial.ac.uk |