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Improving rotating machinery fault diagnosis across heterogeneous machines with domain adversarial perturbation in semi-supervised domain adaptation scenario

Crossref DOI link: https://doi.org/10.1007/s10845-025-02635-z

Published Online: 2025-06-13

Published Print: 2026-05

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

Authors

Yang, Yujun

Kataoka, Jun

Yun, Sang-Hyuk

Yoon, Hyunsoo https://orcid.org/0000-0002-6371-7055
Funding

Funding for this research was provided by:

National Research Foundation of Korea (RS-2023-00213798)

Institute of Information & Communications Technology Planning & Evaluation (RS-2025-02305884)
License Information

Text and Data Mining valid from 2025-06-13

Version of Record valid from 2025-06-13
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Article History

Received: 8 January 2025

Accepted: 27 May 2025

First Online: 13 June 2025

Declarations

:

: The authors declare that they have no conflicts of interest.

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