A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors

Fault diagnosis and classification for machines are integral to condition monitoring in the industrial sector. However, in recent times, as sensor technology and artificial intelligence have developed, data-driven fault diagnosis and classification have been more widely investigated. The data-driven...

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Detalles Bibliográficos
Autores principales: Toma, Rafia Nishat, Piltan, Farzin, Kim, Jong-Myon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706012/
https://www.ncbi.nlm.nih.gov/pubmed/34960552
http://dx.doi.org/10.3390/s21248453

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706012/
https://www.ncbi.nlm.nih.gov/pubmed/34960552
http://dx.doi.org/10.3390/s21248453

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