A reliable rolling bearing fault diagnosis method based on a time-frequency fusion network with frequency-band attention
Reliable rolling bearing fault diagnosis remains challenging because fault information is distributed across transient impacts, temporal dependencies, and frequency-dependent energy patterns. To address this challenge, this study proposes TFBF-Net, a temporal–frequency fusion network with frequency-band structural atte...