CARENet: a novel interpretable channel attention residual enhanced network for gearbox fault diagnosis under strong noise conditions
Gearbox fault diagnosis is crucial for ensuring production safety and improving operational efficiency. However, gearbox fault diagnosis still faces challenges due to strong noise environments. To address these challenges, we propose a novel interpretable channel attention residual enhancement network (CARENet) for rob...