A one-class Shapelet dictionary learning method for wind turbine bearing anomaly detection

Detecting main shaft bearing anomaly is crucial to ensure the safe operation of wind turbines. However, existing anomaly detection methods have a limitation that anomaly samples are required for hyper-parameters tuning. Because of the scarcity of anomaly samples in the real-world scenarios, it is difficult to implement such existing methods in real-world applications. This paper proposes an end-to-end anomaly detection algorithm named one-class …