Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability

In aerospace, marine, and other heavy industries, bearing fault diagnosis has been an essential part of improving machine life, reducing economic losses, and avoiding safety problems caused by machine bearing failures. Most existing bearing fault diagnosis methods face challenges in extracting the f...

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Detalles Bibliográficos
Autores principales: Xie, Wenlang, Li, Zhixiong, Xu, Yang, Gardoni, Paolo, Li, Weihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105293/
https://www.ncbi.nlm.nih.gov/pubmed/35591006
http://dx.doi.org/10.3390/s22093314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105293/
https://www.ncbi.nlm.nih.gov/pubmed/35591006
http://dx.doi.org/10.3390/s22093314

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