MERSN-ISwinT: An intelligent fault diagnosis framework based on multi-scale efficient residual shrinkage network and improved swin transformer

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Authors: Xiuyan Liu, Dongqing Guo, Juan Li, Tingting Guo
Cited by: 1
References: 37

Fields of Study & Subjects

Machine Fault Diagnosis Techniques Fault Detection and Control Systems Anomaly Detection Techniques and Applications

Publication details

Journal / source
Journal of Mechanical Science and Technology
Publisher
Springer Science and Business Media LLC
Volume
40
Issue
2
Pages
905–921
Publication date
1 February 2026
Language
EN