A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis

Bearing fault diagnosis is imperative for the maintenance, reliability, and durability of rotary machines. It can reduce economical losses by eliminating unexpected downtime in industry due to failure of rotary machines. Though widely investigated in the past couple of decades, continued advancement...

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Detalles Bibliográficos
Autores principales: Sohaib, Muhammad, Kim, Cheol-Hong, Kim, Jong-Myon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751499/
https://www.ncbi.nlm.nih.gov/pubmed/29232908
http://dx.doi.org/10.3390/s17122876

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751499/
https://www.ncbi.nlm.nih.gov/pubmed/29232908
http://dx.doi.org/10.3390/s17122876

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