A noise-aware three-view time-frequency representation and deep–shallow feature fusion framework for bearing fault diagnosis
Rolling bearing fault diagnosis under strong noise remains a challenging problem because defect-induced vibration responses are typically non-stationary, weakly impulsive, and easily submerged by background interference. In addition, fault categories with different damage severities often exhibit similar dominant perio...