Research on fault diagnosis method of tank planetary gearbox based on VMD-DE

被引：0
|
作者：
Wu S. [1 ]
Feng F. [1 ]
Wu C. [1 ]
Li B. [2 ]
机构：
[1] Department of Vehicle Engineering, Army Academy of Armored Forces, Beijing
[2] PLA32379, Beijing
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2020年 / 39卷 / 10期
关键词：
Dispersion entropy(DE); Fault diagnosis; Particle swarm optimization(PSO); Planetary gearbox; Support vector machine(SVM); Variational mode decomposition(VMD);
D O I：
10.13465/j.cnki.jvs.2020.10.023
中图分类号：
学科分类号：
摘要：
In order to improve fault pattern recognition accuracy of tank planetary gearbox, this work proposed a new fault feature extraction method based on variational mode decomposition (VMD) and dispersion entropy (DE). First, intrinsic mode function (IMF) number was determined by waveform method. Next, VMD was used to decompose vibration signal to obtain a set of IMFs. Then, normalized mutual information criterion was used to screen several IMF for signal reconstruction. And then, dispersion entropy of reconstructed signal was calculated. Last, dispersion entropy was input into support vector machine (SVM), which was optimized by particle swarm optimization (PSO), to realize fault pattern recognition. The pattern recognition accuracy of the normal, planetary gear fault and sun gear fault of planetary gearbox was 100% with a relatively short computing time. Compared with methods of original signal DE, VMD-SE, VMD-PE and EMD-DE, the results show that VMD-DE methods has the best fault pattern recognition performance. © 2020, Editorial Office of Journal of Vibration and Shock. All right reserved.
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页码：170 / 179
页数：9
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