Adaptive fault detection and tracking for a wind turbine generator using Kalman filter
This paper describes a wind turbine (WT) condition monitoring technique that uses the measurement of stator current and rotational speed to derive a fault detection signal. The detection algorithm uses a Kalman filter (KF) to extract and track the strength of particular frequency components, charact...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/22951 |
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