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...

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Detalhes bibliográficos

Principais autores:	Yi Zhang, Jianlong Wang, Weifang Sun
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-10-01
coleção:	Engineering Proceedings
Assuntos:	rolling bearing fault diagnosis multi-scale convolutional neural network gated recurrent unit attention mechanism robustness
Acesso em linha:	https://www.mdpi.com/2673-4591/111/1/14
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