MERSN-ISwinT: An intelligent fault diagnosis framework based on multi-scale efficient residual shrinkage network and improved swin transformer
Crossref DOI link: https://doi.org/10.1007/s12206-026-0112-5
Published Online: 2026-02-09
Published Print: 2026-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Liu, Xiuyan
Guo, Dongqing
Li, Juan
Guo, Tingting
Text and Data Mining valid from 2026-02-01
Version of Record valid from 2026-02-01
Article History
Received: 20 June 2025
Revised: 4 September 2025
Accepted: 1 October 2025
First Online: 9 February 2026
Conflict of interest
: The authors declare no competing interests.