Mechanical fault diagnosis by using dynamic transfer adversarial learning

This research is partially supported by the National Natural Science Foundation of China (51975121, 51775112), the Guangdong Basic and Applied Basic Research Foundation (2019B1515120095), the MoST International Cooperation Program (6-14) and the Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje.