An Application of Improved Entropy Feature in Crack Fault Identification of Planetary Gear

被引：0
|
作者：
Wu S. [1 ,2 ]
Chen J. [3 ]
Feng F. [1 ]
Zhou C. [4 ]
Wu C. [1 ]
Wei H. [5 ]
机构：
[1] Department of Vehicle Engineering, Army Academy of Armored Forces, Beijing
[2] Unit 63963 of PLA, Beijing
[3] School of Physical Education, Shaanxi Normal University, Xi'an
[4] Institute of System Engineering, Academy of Military Sciences, Beijing
[5] Unit 32021 of PLA, Beijing
来源：
Feng, Fuzhou | 1600年 / Xi'an Jiaotong University卷 / 55期
关键词：
Fault diagnosis; Information entropy; Multiscale entropy; Planetary gear; Support vector machine;
D O I：
10.7652/xjtuxb202106008
中图分类号：
学科分类号：
摘要：
To overcome the shortcomings of using RCMDE feature in planetary gear crack fault identification, such as poor noise robustness and manual scale selection, a new method for planetary gear crack fault identification based on ARCMDE feature is proposed by improving the RCMDE feature. The improvement is carried out as follows: First, the signal is decomposed by using the variational mode decomposition (VMD) algorithm before calculating RCMDE features, so as to obtain the preset number of intrinsic mode components (IMF); Then, the mutual information between IMF and original signal is calculated, and the reconstructed IMF signal whose mutual information is greater than the threshold value is selected to realize noise reduction preprocessing; Further, the feature coincidence degree and its calculation formula are proposed to evaluate the overlap and crossover between the mean and standard deviation of multiple state samples, and the feature vector is constructed by using the feature coincidence degree. Finally, the fault pattern recognition is realized by combining particle swarm optimization (PSO) and support vector machine (SVM). Experimental results of planetary gearbox and comparisons with multi-scale dispersion entropy (MDE) and RCMDE show that the classification accuracy of the feature vector constructed by the improved ARCMDE is improved by more than 20%, which verifies the effectiveness and advantages of the proposed method. © 2021, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved.
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页码：61 / 68
页数：7
相关论文
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