Few-Shot Fault Diagnosis of Wind Turbine Bearings Using HAGATCN-ProtoNet
To address the challenges of limited fault samples and severe class imbalance in wind turbine bearing fault diagnosis, a few-shot fault diagnosis method based on a hierarchical attention gated temporal convolutional network and prototype learning (HAGATCN-ProtoNet) is proposed. The method constructs a unified framework...