Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems

Bearing elements are vital in induction motors; therefore, early fault detection of rolling-element bearings is essential in machine health monitoring. With the advantage of fault feature representation techniques of time–frequency domain for nonstationary signals and the advent of convolutional neu...

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Detalles Bibliográficos
Autores principales: Pham, Minh Tuan, Kim, Jong-Myon, Kim, Cheol Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730594/
https://www.ncbi.nlm.nih.gov/pubmed/33276483
http://dx.doi.org/10.3390/s20236886

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730594/
https://www.ncbi.nlm.nih.gov/pubmed/33276483
http://dx.doi.org/10.3390/s20236886

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