A robust deep learning framework for bearing fault diagnosis using residual shrinkage networks and signal denoising
Crossref DOI link: https://doi.org/10.1007/s40435-026-02047-8
Published Online: 2026-03-08
Published Print: 2026-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kumar, Sujit
Sinha, Bam Bahadur
Text and Data Mining valid from 2026-03-01
Version of Record valid from 2026-03-01
Article History
Received: 6 December 2025
Revised: 28 January 2026
Accepted: 10 February 2026
First Online: 8 March 2026
Declarations
:
: The authors have no conflict of interest.