A fault diagnosis method for rolling bearing based on gram matrix and multiscale convolutional neural network

Abstract The safety and reliability of rotating machinery hinge significantly on the proper functioning of rolling bearings. In the last few years, there have been significant advances in the algorithms for intelligent fault diagnosis of bearings. However, the vibration signals collected by machines...

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Detalhes bibliográficos

Principais autores:	Xinyan Zhang, Shaobin Cai, Wanchen Cai, Yuchang Mo, Liansuo Wei
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2024-12-01
coleção:	Scientific Reports
Assuntos:	Gram matrix Multiscale convolutional neural network Denoising Rolling bearing Fault diagnosis
Acesso em linha:	https://doi.org/10.1038/s41598-024-83315-5
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