Fault diagnosis of small sample wind turbine blade in ice-covered and damage condition based on ResNet50-SVM and transfer learning
Wind turbine blade failures, such as icing and damage, risk safety and efficiency, but limited fault data hinders diagnosis. This study proposes a hybrid framework combining ResNet50-SVM and transfer learning for small-sample fault diagnosis. A coupled simulation model first generates comprehensive dynamic fault data....