A Novel Fault Diagnosis Method for Rolling Bearing Based on Hierarchical Refined Composite Multiscale Fluctuation-Based Dispersion Entropy and PSO-ELM

This paper proposes a novel fault diagnosis method for rolling bearing based on hierarchical refined composite multiscale fluctuation-based dispersion entropy (HRCMFDE) and particle swarm optimization-based extreme learning machine (PSO-ELM). First, HRCMFDE is used to extract fault features in the v...

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Detalles Bibliográficos
Autores principales: Chen, Yinsheng, Yuan, Zichen, Chen, Jiahui, Sun, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689796/
https://www.ncbi.nlm.nih.gov/pubmed/36359611
http://dx.doi.org/10.3390/e24111517

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689796/
https://www.ncbi.nlm.nih.gov/pubmed/36359611
http://dx.doi.org/10.3390/e24111517

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