Zhenshui Li

A Multi-Fault Diagnosis Method for Cylindrical Roller Bearings Based on RSNGO-Optimized VMD and CNN-BiLSTM-SAT

Experimental results demonstrate that the proposed method effectively improves the separability and recognition accuracy of multi-fault features, exhibits strong robustness and generalization capability under complex operating conditions, and provides an effective solution for intelligent bearing fault diagnosis.