Zhaodong Liu

A bearing fault diagnosis method based on MCDCGAN and DPTAN under data imbalance

Bearings are critical components of rotating machinery, yet reliable fault diagnosis remains challenging under complex conditions due to signal non-stationarity and data scarcity. To address these issues, this paper proposes a diagnostic framework that combines generative-adversarial data augmentation with dual-branch...