K. K

Lightweight mobile inverted bottleneck convolution network with time–frequency Gramian angular field for bearing fault diagnosis

This work proposes a bearing fault diagnosis method using a lightweight MBConv network, combined with time–frequency Gramian Angular Field (T–F GAF) representations, which enables accurate classification of bearing faults while reducing computational complexity.