Fault Diagnosis for Rotating Machinery Using Multiscale Permutation Entropy and Convolutional Neural Networks

In view of the limitations of existing rotating machine fault diagnosis methods in single-scale signal analysis, a fault diagnosis method based on multi-scale permutation entropy (MPE) and multi-channel fusion convolutional neural networks (MCFCNN) is proposed. First, MPE quantitatively analyzes the...

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Detalles Bibliográficos
Autores principales: Li, Hongmei, Huang, Jinying, Yang, Xiwang, Luo, Jia, Zhang, Lidong, Pang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517452/
https://www.ncbi.nlm.nih.gov/pubmed/33286622
http://dx.doi.org/10.3390/e22080851

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517452/
https://www.ncbi.nlm.nih.gov/pubmed/33286622
http://dx.doi.org/10.3390/e22080851

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