Semisupervised fault detection for wind turbines based on explainable artificial intelligence and transformer autoencoder
Deep learning-based fault diagnosis for wind turbine blades has been widely adopted owing to its end-to-end feature extraction capability, yet it continues to face considerable challenges. First, wind turbines predominantly operate under normal conditions, resulting in an acute scarcity of labeled fault data. Second, t...