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High-low frequency features fusion and integrated classification SCNs for intelligent fault diagnosis of rolling bearing

Published Online: 2024-10-04

Published Print: 2025-03

Authors

Li, Kun

Wu, Hao

Han, Ying https://orcid.org/0000-0002-4856-2999
Funding

Funding for this research was provided by:

LiaoNing Revitalization Talents Prograrn (XLYC2007091)

National Natural Science Foundation of China (62203197)

Basic Scientific Research Project of Education Department of Liaoning Province (JYTZD2023074)
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Text and Data Mining valid from 2024-10-04

Version of Record valid from 2024-10-04
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Article History

Received: 21 April 2023

Accepted: 24 August 2024

First Online: 4 October 2024

Declarations

:

: The authors declared no potential Conflict 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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