Gearbox fault diagnosis method based on dynamic temporal convolution under strong noise and limited sample operating conditions
Intelligent gearbox fault diagnosis is crucial for ensuring the safety and reliability of rotating machinery in industrial systems, yet limited labelled samples, strong noise, and edge deployment constraints remain challenging. To address these issues, this study proposes dynamic depthwise separable temporal convolutio...