Rolling bearing fault diagnosis method based on dual attention multi-scale convolutional network
A bearing fault diagnosis method based on the Dual Attention Multi-Scale Convolutional Neural Network that achieves a peak diagnostic accuracy of 99.69% in cross-condition tasks and maintains accuracy above 92% under −5 dB SNR, outperforming BiTCN-Transformer, MTFC-T, and CTCA in accuracy, recall, and F1-score, while a...