Combining Multi-Scale Wavelet Entropy and Kernelized Classification for Bearing Multi-Fault Diagnosis

Discriminative feature extraction and rolling element bearing failure diagnostics are very important to ensure the reliability of rotating machines. Therefore, in this paper, we propose multi-scale wavelet Shannon entropy as a discriminative fault feature to improve the diagnosis accuracy of bearing...

Descripción completa

Detalles Bibliográficos
Autores principales: Rodriguez, Nibaldo, Alvarez, Pablo, Barba, Lida, 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/PMC7514634/
https://www.ncbi.nlm.nih.gov/pubmed/33266868
http://dx.doi.org/10.3390/e21020152

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514634/
https://www.ncbi.nlm.nih.gov/pubmed/33266868
http://dx.doi.org/10.3390/e21020152

Ejemplares similares