Bearing fault diagnosis based on multiscale subdomain full-dimensional dynamic convolutional networks
Experimental results demonstrate that the proposed MSODNet model effectively captures both the divergence and commonality of signals under multi-condition scenarios, achieving an average accuracy of 99.35% in bearing vibration fault diagnosis, confirming the superior diagnostic performance and robustness of the MSODNet...