Probabilistic anomaly detection approach for data-driven wind turbine condition monitoring
Continuous monitoring of wind turbine (WT) operation can improve the reliability of the wind turbine and lower the operation and maintenance costs. To improve the condition monitoring (CM) and fault detection performance on WTs, this paper proposes an artificial intelligence-based probabilistic anom...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
China electric power research institute
2019-06-01
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| Series: | CSEE Journal of Power and Energy Systems |
| Online Access: | https://ieeexplore.ieee.org/document/8712468 |