A multi-representation-based domain adaptation network for fault diagnosis

Deep learning-based domain adaptation algorithms with various representations have been recently developed to address the domain shift problem in mechanical fault diagnosis. However, few research have focused on potential improvements through multiple representations. Thus, a multi-representation-based domain adaptation network is proposed in this paper. Three complementary time–frequency representations are first proposed to serve as …