Lightweight mobile inverted bottleneck convolution network with time–frequency Gramian angular field for bearing fault diagnosis
Real-time detection of motor faults is crucial for timely maintenance, minimizing downtime, and preventing potential operational losses. Most existing studies have leveraged time–frequency (T–F) images in combination with deep learning techniques, which generally provide strong diagnostic performance and good generaliz...