Research on bearing fault diagnosis method based on multi-scale time-frequency representation and lightweight attention network
Rolling bearings are key components in rotating machinery, and their operating status directly affects equipment safety and maintenance costs. To address issues such as reliance on manual features in traditional bearing fault diagnosis, large parameter counts in deep models, and degraded recognition performance under n...