A bearing fault diagnosis method based on M-SSCNN and M-LR attention mechanism
Autor(en): |
Yonghua Li
(College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, Liaoning, China)
Zhihui Men (College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, Liaoning, China) Xiaoning Bai (School of Mechanical Engineering, Dalian Jiaotong University, Dalian, Liaoning, China) Qing Xia (School of Mechanical Engineering, Dalian Jiaotong University, Dalian, Liaoning, China) Dongxu Zhang (College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, Liaoning, China) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Health Monitoring |
DOI: | 10.1177/14759217241244477 |
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Datenseite - Reference-ID
10789362 - Veröffentlicht am:
20.06.2024 - Geändert am:
20.06.2024