An Attention EfficientNet-Based Strategy for Bearing Fault Diagnosis under Strong Noise

With the continuous development of artificial intelligence, data-driven fault diagnosis methods are gradually attracting widespread attention. However, in practical industrial applications, noise in the working environment is inevitable. This leads to the fact that the performance of traditional int...

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Detalles Bibliográficos
Autores principales: Hu, Bingbing, Tang, Jiahui, Wu, Jimei, Qing, Jiajuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459711/
https://www.ncbi.nlm.nih.gov/pubmed/36081026
http://dx.doi.org/10.3390/s22176570

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459711/
https://www.ncbi.nlm.nih.gov/pubmed/36081026
http://dx.doi.org/10.3390/s22176570

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