Fault Recognition of Rolling Bearings Based on Parameter Optimized Multi-Scale Permutation Entropy and Gath-Geva

To extract fault features of rolling bearing vibration signals precisely, a fault diagnosis method based on parameter optimized multi-scale permutation entropy (MPE) and Gath-Geva (GG) clustering is proposed. The method can select the important parameters of MPE method adaptively, overcome the disad...

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Detalles Bibliográficos
Autores principales: Wang, Haiming, Li, Qiang, Yang, Shaopu, Liu, Yongqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394354/
https://www.ncbi.nlm.nih.gov/pubmed/34441180
http://dx.doi.org/10.3390/e23081040

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394354/
https://www.ncbi.nlm.nih.gov/pubmed/34441180
http://dx.doi.org/10.3390/e23081040

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