Check valve fault diagnosis based on VMD parametric optimization and enhanced multi-scale permutation entropy

被引：0
作者：
Pan Z. [1 ,2 ]
Huang G. [1 ,2 ]
Wu M. [1 ,2 ]
机构：
[1] Faculty of Information Engineering & Automation, Kunming University of Science and Technology, Kunming
[2] Yunnan Institute of Mineral Pipeline Engineering Technology, Kunming
来源：
Huang, Guoyong | 1600年 / Chinese Vibration Engineering Society卷 / 39期
关键词：
Check valve; Enhanced multi-scale permutation entropy (EMPE); Fault diagnosis; Variable predictive model-based pattern recognition (VPMPR); Variational mode decomposition (VMD);
D O I：
10.13465/j.cnki.jvs.2020.15.016
中图分类号：
学科分类号：
摘要：
Aiming at the problem of extracting fault feature information of a check pump on a single scale being difficult due to the information being distributed on multi-scale in a high-pressure diaphragm pump with complex mechanical structure, A fault diagnosis method for check valves was proposed based on VMD parametric optimization and enhanced multi-scale permutation entropy (EMPE). Firstly, vibration signals of a check valve were decomposed using VMD, and parameters of VMD were optimized with the minimum envelope entropy principle to obtain several intrinsic mode functions (IMFs). Then, EMPEs of IMFs were calculated to construct fault feature vectors. Finally, the variable predictive model-based pattern recognition (VPMPR) was used to train and identify fault feature vectors, and the fault diagnosis of the check valve was realized. Simulation signals and engineering test analysis showed that the proposed method can accurately recognize fault types of the check valve; it has a certain reliability and is valuable in engineering application. © 2020, Editorial Office of Journal of Vibration and Shock. All right reserved.
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页码：118 / 125
页数：7
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