Qiao-Ying Ma

A dual-branch spatiotemporal dynamic residual fusion network for rolling bearing fault diagnosis

Rolling bearings are key components in rotating machinery. Their fault signals are often affected by noise interference, overlapping impulsive components, and multiscale feature coupling, which create difficulties for feature extraction and condition recognition. To improve the accuracy of rolling bearing fault diagnos...