Abstract: In the field of defect detection in hot-rolled strip steel, deep learning methods have emerged as a hot research topic and have been widely applied in practical production, renowned for ...

Abstract: Deep-transfer-learning-based fault diagnosis methods are prone to encounter challenges in cross-domain knowledge transfer, particularly when facing limited labeled samples and the diagnostic ...