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

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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Bibliographic Details
Main Authors: Hongmei Li, Jinying Huang, Xiwang Yang, Jia Luo, Lidong Zhang, Yu Pang
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Entropy
Subjects:
multiscale permutation entropy
information fusion
multi-channel
convolutional neural networks
fault diagnosis
rotating machinery
Online Access:https://www.mdpi.com/1099-4300/22/8/851

Internet

https://www.mdpi.com/1099-4300/22/8/851

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