Wide Residual Relation Network-Based Intelligent Fault Diagnosis of Rotating Machines with Small Samples

Many existing fault diagnosis methods based on deep learning (DL) require numerous fault samples to train the diagnosis model. However, in industrial applications, rotating machines (RMs) operate in normal states for most of their service life with fault events being rare and thus failure samples ar...

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Detalles Bibliográficos
Autores principales: Chen, Zuoyi, Wang, Yuanhang, Wu, Jun, Deng, Chao, Jiang, Weixiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185568/
https://www.ncbi.nlm.nih.gov/pubmed/35684782
http://dx.doi.org/10.3390/s22114161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185568/
https://www.ncbi.nlm.nih.gov/pubmed/35684782
http://dx.doi.org/10.3390/s22114161

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