Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features

In the machine learning and data science pipelines, feature extraction is considered the most crucial component according to researchers, where generating a discriminative feature matrix is the utmost challenging task to achieve high classification accuracy. Generally, the classical feature extracti...

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Detalles Bibliográficos
Autores principales: Toma, Rafia Nishat, Gao, Yangde, 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/PMC9696953/
https://www.ncbi.nlm.nih.gov/pubmed/36433553
http://dx.doi.org/10.3390/s22228958

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696953/
https://www.ncbi.nlm.nih.gov/pubmed/36433553
http://dx.doi.org/10.3390/s22228958

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