Research on Bearing Fault Diagnosis Method Based on Multi-Scale Convolution and Attention Mechanism in Strong Noise Environment

Aiming to address the suboptimal diagnostic efficacy of conventional approaches in rolling bearing fault diagnosis under complex operational scenarios—particularly when subjected to intense noise contamination—this study introduces a novel fault diagnosis framework leveraging the synergistic attenti...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Yi Zhang, Jianlong Wang, Weifang Sun
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2025-10-01
Σειρά:	Engineering Proceedings
Θέματα:	rolling bearing fault diagnosis multi-scale convolutional neural network gated recurrent unit attention mechanism robustness
Διαθέσιμο Online:	https://www.mdpi.com/2673-4591/111/1/14
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