Automated broad transfer learning for cross-domain fault diagnosis

Smart manufacturing system pursues automated modeling algorithms for industrial applications in dynamic environments. The prevalent deep transfer learning (DTL) has achieved promising results in cross-domain fault diagnosis. However, most DTL algorithms are dataset- and domain-specific. They require hyperparameter optimization (HPO) calling for prior knowledge to accomplish a promising prediction performance. This dilemma persists when new data …