Stationary Wavelet-Fourier Entropy and Kernel Extreme Learning for Bearing Multi-Fault Diagnosis

Bearing fault diagnosis methods play an important role in rotating machine health monitoring. In recent years, various intelligent fault diagnosis methods have been proposed, which are mainly based on the features extraction method combined with either shallow or deep learning methods. During the la...

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Detalles Bibliográficos
Autores principales: Rodriguez, Nibaldo, Barba, Lida, Alvarez, Pablo, Cabrera-Guerrero, Guillermo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515029/
https://www.ncbi.nlm.nih.gov/pubmed/33267254
http://dx.doi.org/10.3390/e21060540

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515029/
https://www.ncbi.nlm.nih.gov/pubmed/33267254
http://dx.doi.org/10.3390/e21060540

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