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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

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