Journal article

Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions

Changqing Shen, Xu Wang, Dong Wang, Yongxiang Li, Jun Zhu, Mingming Gong

IEEE Transactions on Instrumentation and Measurement | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2021

DOI: 10.1109/TIM.2021.3055786

University of Melbourne Researchers

Grants

Awarded by Open Fund Program of the State Key Laboratory of Traction Power, Southwest Jiaotong University

Awarded by Research Project of State Key Laboratory of Mechanical System and Vibration

Awarded by National Natural Science Foundation of China

Funding Acknowledgements

This work was supported in part by the Open Fund Program of the State Key Laboratory of Traction Power, Southwest Jiaotong University, under Grant TPL2105, in part by the Research Project of State Key Laboratory of Mechanical System and Vibration under Grant MSV202104, and in part by the National Natural Science Foundation of China under Grant 51875375 and Grant 51975355. The Associate Editor coordinating the review process was Dr. Jianbo Yu.

Keywords

Engineering, Electrical & Electronic
Unsupervised Learning
Fault Diagnosis
Soft Pseudo Labels
Engineering
Science & Technology
Instruments & Instrumentation
Bearing
Distribution Alignment
Technology