A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions

Diagnostics of mechanical problems in manufacturing systems are essential to maintaining safety and minimizing expenditures. In this study, an intelligent fault classification model that combines a signal-to-image encoding technique and a convolution neural network (CNN) with the motor-current signa...

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Detalles Bibliográficos
Autores principales: Toma, Rafia Nishat, Piltan, Farzin, Im, Kichang, Shon, Dongkoo, Yoon, Tae Hyun, Yoo, Dae-Seung, Kim, Jong-Myon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269757/
https://www.ncbi.nlm.nih.gov/pubmed/35808372
http://dx.doi.org/10.3390/s22134881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269757/
https://www.ncbi.nlm.nih.gov/pubmed/35808372
http://dx.doi.org/10.3390/s22134881

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