Rolling Bearing Fault Diagnosis Based on Refined Composite Multi-Scale Approximate Entropy and Optimized Probabilistic Neural Network

A rolling bearing early fault diagnosis method is proposed in this paper, which is derived from a refined composite multi-scale approximate entropy (RCMAE) and improved coyote optimization algorithm based probabilistic neural network (ICOA-PNN) algorithm. Rolling bearing early fault diagnosis is a t...

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Detalles Bibliográficos
Autores principales: Ma, Jianpeng, Li, Zhenghui, Li, Chengwei, Zhan, Liwei, Zhang, Guang-Zhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926698/
https://www.ncbi.nlm.nih.gov/pubmed/33672339
http://dx.doi.org/10.3390/e23020259

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926698/
https://www.ncbi.nlm.nih.gov/pubmed/33672339
http://dx.doi.org/10.3390/e23020259

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