A Deep Learning Method for Rolling Bearing Fault Diagnosis Based on Attention Mechanism and Graham Angle Field

Focusing on the low accuracy and timeliness of traditional fault diagnosis methods for rolling bearings which combine massive amounts of data, a fault diagnosis method for rolling bearings based on Gramian angular field (GAF) coding technology and an improved ResNet50 model is proposed. Using the Gr...

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Detalles Bibliográficos
Autores principales: Lu, Jingyu, Wang, Kai, Chen, Chen, Ji, Weixi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304889/
https://www.ncbi.nlm.nih.gov/pubmed/37420653
http://dx.doi.org/10.3390/s23125487

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304889/
https://www.ncbi.nlm.nih.gov/pubmed/37420653
http://dx.doi.org/10.3390/s23125487

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