A hybrid approach combining deep learning and signal processing for bearing fault diagnosis under imbalanced samples and multiple operating conditions
Crossref DOI link: https://doi.org/10.1038/s41598-025-98138-1
Published Online: 2025-04-19
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zhang, Benjie
Wang, Wei
He, Yan
Text and Data Mining valid from 2025-04-19
Version of Record valid from 2025-04-19
Article History
Received: 7 January 2025
Accepted: 9 April 2025
First Online: 19 April 2025
Declaration
:
: The authors declare no competing interests.