Fault diagnosis method for rotating machinery based on fine composite multi-scale divergence entropy under time-varying working conditions

被引：0
|
作者：
Lu T. [1 ]
Ma H. [1 ]
Wang X. [2 ]
Chen G. [1 ]
机构：
[1] School of Communications and Information Engineering, School of Artificial Intelligence), Xi'an University of Posts and Telecommunications, Xi'an
[2] School of Automation, Xi'an University of Posts and Telecommunications, Xi'an
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2023年 / 42卷 / 21期
关键词：
fault diagnosis; fine composite multiscale divergence entropy (FCMDE); independent component analysis (ICA); time-varying working condition; variational mode decomposition (VMD);
D O I：
10.13465/j.cnki.jvs.2023.21.025
中图分类号：
学科分类号：
摘要：
Vibration signals of rotating machinery under time-varying working conditions have obvious time-varying modulation features, entropy value method has unique advantages in extracting such signals' features. Here, to solve problems of slow calculation speed and unstable entropy value in traditional entropy value method, a fault diagnosis method for rotating machinery under time-varying working conditions based on fine composite multi-scale divergence entropy (FCMDE) was proposed to more effectively extract fault feature information and improve fault diagnosis accuracy. Firstly, a resampling method was used to convert a time-domain signal into an angular domain signal, and a combination of variational mode decomposition and independent component analysis was used to denoise angular domain signals. Secondly, FCMDE was used to extract features from denoised angular domain signals, and the extracted features were then input into a logistic regression (LR) classifier to identify fault types. Finally, the proposed method was verified through gear experiments under time-varying working conditions, and the results showed that the proposed method can effectively improve the accuracy of fault diagnosis under time-varying working conditions. © 2023 Chinese Vibration Engineering Society. All rights reserved.
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页码：211 / 218
页数：7
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