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Rolling bearing fault diagnosis method based on dynamic simulated model from source domain to target domain with improved alternating transfer learning

Crossref DOI link: https://doi.org/10.1007/s11071-024-10310-w

Published Online: 2024-10-23

Published Print: 2025-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Heng

Wang, Peng

Wang, Siyuan

Li, Danqing
Funding

Funding for this research was provided by:

National Natural Science Foundation of Nantong (Grant No. JC2023008)

Graduate Research and Innovation Projects of Jiangsu Province (Grant No. KYCX22-3338)
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Version of Record valid from 2024-10-23
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Article History

Received: 16 June 2024

Accepted: 5 September 2024

First Online: 23 October 2024

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

: No datasets were generated or analysed during the current study.

: Graduate Research and Innovation Projects of Jiangsu Province, Grant No. KYCX22-3338.

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