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| Check valve fault diagnosis based on VMD parametric optimization and enhanced multi-scale permutation entropy |
| PAN Zhen1,2， HUANG Guoyong1,2， WU Man1,2 |
1.Faculty of Information Engineering & Automation, Kunming University of Science and Technology, Kunming 650500, China;
2.Yunnan Institute of Mineral Pipeline Engineering Technology,Kunming 650500, China |
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Abstract Aiming at the complex mechanical structure of the high-pressure diaphragm pump, the fault characteristic information of the check valve is distributed on multiple scales, and it is difficult to extract the feature comprehensively at a single scale. A fault diagnosis method for check valve based on parameter optimization variational mode decomposition (VMD) and enhanced multi-scale permutation entropy (EMPE) was proposed. Firstly, the vibration signals of check valve were decomposed by VMD, and the parameters of VMD were optimized with the minimum envelope entropy principle to obtain several intrinsic mode functions (IMFs). Then, the enhanced multi-scale permutation of the IMFs was extracted to construct the fault characteristics vector; Finally, variable predictive model based class discriminate (VPMCD) was used to train and identify the fault feature vector, and then the fault diagnosis of the check valve was realized. The simulation signal and engineering experiment analysis show that the method can accurately identify the fault type of the check valve, and has certain reliability and engineering application value.
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Received: 27 March 2019
Published: 28 July 2020
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