Fault Diagnosis of Rolling Bearings Based on a Residual Dilated Pyramid Network and Full Convolutional Denoising Autoencoder

Intelligent fault diagnosis algorithm for rolling bearings has received increasing attention. However, in actual industrial environments, most rolling bearings work under severe working conditions of variable speed and strong noise, which makes the performance of many intelligent fault diagnosis met...

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Detalles Bibliográficos
Autores principales: Shi, Hongmei, Chen, Jingcheng, Si, Jin, Zheng, Changchang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600409/
https://www.ncbi.nlm.nih.gov/pubmed/33050210
http://dx.doi.org/10.3390/s20205734

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600409/
https://www.ncbi.nlm.nih.gov/pubmed/33050210
http://dx.doi.org/10.3390/s20205734

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