FTSDC: A novel federated transfer learning strategy for bearing cross-machine fault diagnosis based on dual-correction training

Author:

Yan Zhenhao,Xu Zifeng,Zhang Yixiang,Sun Jiachen,Liu LilanORCID,Sun Yanning

Funder

Shanghai University

Publisher

Elsevier BV

Reference35 articles.

1. A deep feature alignment adaptation network for rolling bearing intelligent fault diagnosis[J];Liu;Advanced Engineering Informatics,2022

2. Physics-informed machine learning for reliability and systems safety applications: state of the art and challenges[J];Xu;Reliability Engineering & System Safety,2023

3. Intelligent machinery fault diagnosis with event-based Camera[J];Li;IEEE Transactions on Industrial Informatics,2023

4. Maximum mean square discrepancy: a new discrepancy representation metric for mechanical fault transfer diagnosis[J];Qian;Knowledge-Based Systems,2023

5. Relationship transfer domain generalization network for rotating machinery fault diagnosis under different working conditions[J];Qian;IEEE Transactions on Industrial Informatics,2023

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