Zhi-Yuan Li

A Method for Rolling Bearing Fault Diagnosis Based on Dynamic MFCC Features and a Dual-Path Attention-Multi-Scale Aggregation Network (DPA-MSAN) Under Heavy Noise

Under severe noise interference in industrial environments, the non-stationary and nonlinear characteristics of rolling bearing vibration signals become more pronounced, making weak fault features easily buried and diagnosis significantly more challenging. To address this issue, this paper proposes a fault diagnosis me...