Transfer learning applications for anomaly detection in wind turbines

Cyriana M. A. Roelofs, Christian Gück, Stefan Faulstich

Anomaly detection in wind turbines typically involves using normal behaviour models to detect faults early. However, training autoencoder models for each turbine is time-consuming…