Chun-Lei Shi

STFT–LoRA–DANN: a lightweight adversarial transfer learning framework for cross-load bearing fault diagnosis

Due to the significant differences in energy distribution, noise characteristics, and feature patterns of vibration signals under varying load conditions, cross-load fault diagnosis has become a central challenge in rolling bearing health monitoring. To address the weak cross-domain generalization and high adaptation...