H. Dang

Integrating self-supervised learning with domain adaptation based on Multi-view Structural Consistency and joint learning for bearing fault diagnosis

Rotary machinery is an indispensable part of modern industry; it greatly reduces labor and improves production efficiency. Therefore, accurate diagnosis and early warning of faults help minimize repair costs, increase efficiency, and prevent problems. Deep learning-based fault diagnostic methods often assume training...