Zhu Yuan

Intelligent fault diagnosis method for rolling bearings based on adaptive feature mode decomposition and TCN-BiGRU-Attention

This smart fault diagnosis method based on the Time Convolution Network - Bidirectional Gated Recurrent Unit - Attention Model (TCN-BiGRU-Attention) can achieve high-precision and stable fault diagnosis for rolling bearings, providing an effective intelligent diagnosis solution for engineering applications.