Electronic Science and Technology ›› 2019, Vol. 32 ›› Issue (3): 10-15.doi: 10.16180/j.cnki.issn1007-7820.2019.03.003

Previous Articles     Next Articles

Study on the Fault Diagnosis of Check Valve Based on KPCA-LSSVM

MU Zhuqing1,2   

  1. 1. School of Information Engineering and Automation, Kunming University of Science and Technology,Kunming 650500, China
    2. Yunnan Province Engineering Technology Research Center for Mineral Pipeline Transportation, Kunming 650500,China
  • Received:2018-03-18 Online:2019-03-15 Published:2019-03-01
  • Supported by:
    National Natural Science Foundation of China(61663017)


It was difficult to extract and diagnose the characteristic of the fault vibration signal of the check valve of the high pressure diaphragm pump. To solve the problem, KPCA combined with LSSVM were performed for fault diagnosis research. The bi-stable SR method and DEMD algorithm were used to preprocess the signal of each state of the one-way valve, and the principal component of the decomposed K-L divergence was used to extract feature parameters of the time-frequency domain to construct the feature vector set. The second feature extraction of vector set was carried out by KPCA, which were further input into the LSSVM diagnostic system to complete check value fault diagnosis and classification. The experimental data proved that the fault diagnosis rate of this method was 90%, and the fault feature of the one-way valve could be diagnosed well.

Key words: check value, DEMD, feature vector, KPCA, LSSVM, fault diagnosis

CLC Number: 

  • TN911.7