A Novel Fault Diagnosis Method of Rolling Bearings Based on AFEWT-KDEMI

According to the dynamic characteristics of the rolling bearing vibration signal and the distribution characteristics of its noise, a fault identification method based on the adaptive filtering empirical wavelet transform (AFEWT) and kernel density estimation mutual information (KDEMI) classifier is...

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Detalles Bibliográficos
Autores principales: Ge, Mingtao, Wang, Jie, Zhang, Fangfang, Bai, Ke, Ren, Xiangyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512972/
https://www.ncbi.nlm.nih.gov/pubmed/33265545
http://dx.doi.org/10.3390/e20060455

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512972/
https://www.ncbi.nlm.nih.gov/pubmed/33265545
http://dx.doi.org/10.3390/e20060455

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