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Remaining useful life prediction of rolling bearing with determined first predicting time by transfer clustering learning and stochastic configuration networks

Crossref DOI link: https://doi.org/10.1007/s13042-025-02725-7

Published Online: 2025-07-03

Published Print: 2025-10

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

Authors

Han, Ying

Feng, Jiaqi

Li, Kun
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (62203197)

National Natural Science Foundation of China (62203197)

National Natural Science Foundation of China (62203197)

Basic Scientific Research Project of Education Department of Liaoning Province (JYTZD2023074)

Basic Scientific Research Project of Education Department of Liaoning Province (JYTZD2023074)

Basic Scientific Research Project of Education Department of Liaoning Province (JYTZD2023074)

LiaoNing Revitalization Talents Prograrn (XLYC2007091)

LiaoNing Revitalization Talents Prograrn (XLYC2007091)

LiaoNing Revitalization Talents Prograrn (XLYC2007091)
License Information

Text and Data Mining valid from 2025-07-03

Version of Record valid from 2025-07-03
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Article History

Received: 8 August 2024

Accepted: 25 June 2025

First Online: 3 July 2025

Declarations

:

: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

: This article does not contain any studies with human participants or animals performed by any of the authors.

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