Network Construction for Bearing Fault Diagnosis Based on Double Attention Mechanism

Aiming at the difficulty of feature extraction in the case of multicomponent and strong noise in the traditional rolling bearing fault diagnosis method, this paper proposes a bearing fault diagnosis network with double attention mechanism. The original signal with noise is decomposed into a series o...

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Detalles Bibliográficos
Autores principales: Wu, QingE, Zong, Tao, Cheng, Wenfang, Li, Yong, Li, Penglei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637037/
https://www.ncbi.nlm.nih.gov/pubmed/36345476
http://dx.doi.org/10.1155/2022/3987480

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637037/
https://www.ncbi.nlm.nih.gov/pubmed/36345476
http://dx.doi.org/10.1155/2022/3987480

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