A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier

Timely and accurate state detection and fault diagnosis of rolling element bearings are very critical to ensuring the reliability of rotating machinery. This paper proposes a novel method of rolling bearing fault diagnosis based on a combination of ensemble empirical mode decomposition (EEMD), weigh...

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Detalles Bibliográficos
Autores principales: Zhou, Shenghan, Qian, Silin, Chang, Wenbing, Xiao, Yiyong, Cheng, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022092/
https://www.ncbi.nlm.nih.gov/pubmed/29899216
http://dx.doi.org/10.3390/s18061934

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022092/
https://www.ncbi.nlm.nih.gov/pubmed/29899216
http://dx.doi.org/10.3390/s18061934

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