Research on Rotating Machinery Fault Diagnosis Method Based on Energy Spectrum Matrix and Adaptive Convolutional Neural Network

Research on Rotating Machinery Fault Diagnosis Method Based on Energy Spectrum Matrix and Adaptive Convolutional Neural Network

Traditional intelligent fault diagnosis methods focus on distinguishing different fault modes, but ignore the deterioration of fault severity. This paper proposes a new two-stage hierarchical convolutional neural network for fault diagnosis of rotating machinery bearings. The failure mode and failur...

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Bibliographic Details
Main Authors: Yiyang Liu, Yousheng Yang, Tieying Feng, Yi Sun, Xuejian Zhang
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Processes
Subjects:
hierarchical fault diagnosis
energy spectrum matrix
dynamic adjustment of the learning rate
convolutional neural network
rotating machinery
Online Access:https://www.mdpi.com/2227-9717/9/1/69

Internet

https://www.mdpi.com/2227-9717/9/1/69

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