A study on an optimized method for wind turbine fault diagnosis based on deep learning algorithms
This study proposes an optimized multi-source fault diagnosis method for wind turbines operating under variable speeds, loads, and noise disturbances. The method addresses weak fault characteristics, class imbalance, and unstable recognition across different operating conditions. Synchronous vibration, current, tempera...