Application of Improved Particle Filter and Wavelet Packet in Turbine Vibration Diagnosis

Authors

Xia Fei, 1. School of Electronic and Information, Tongji University, Shanghai 201804, China;;2. College of Automation Engineering,Shanghai University of Electric Power, Shanghai 200090, China;;
Shuotao Hao, 2. College of Automation Engineering,Shanghai University of Electric Power, Shanghai 200090, China;;3. Shanghai Engineering Research Center of Intelligent Management and Control for Power Process, Shanghai 200090, China;
Zhang Hao, 1. School of Electronic and Information, Tongji University, Shanghai 201804, China;;2. College of Automation Engineering,Shanghai University of Electric Power, Shanghai 200090, China;;
Daogang Peng, 2. College of Automation Engineering,Shanghai University of Electric Power, Shanghai 200090, China;;3. Shanghai Engineering Research Center of Intelligent Management and Control for Power Process, Shanghai 200090, China;

Abstract

Abstract: A fault diagnosis method of improved particle filter and wavelet packet analysis was proposed in the application of turbine vibration. There was a sample degradation problem in the re-sampling stage of traditional particle filter. And a re-sampling algorithm which was a weight sorting and the survival of the fittest to obtain the improved particle filter was studied. The signal was filtered by the improved particle filter. Then wavelet packet analysis was used to extract the features from the noise reduction signal. Finally the fault diagnosis results were obtained by using SVM. It is shown that the fault identification rate of the noise reduction signal is significantly higher than that of original signal. No matter which kinds of signal are, the recognition rate of fault diagnosis using wavelet packet analysis is higher than that of FFT analysis. It shows the superiority of the improved particle filter and wavelet packet analysis in the stream vibration fault diagnosis.

Recommended Citation

Fei, Xia; Hao, Shuotao; Hao, Zhang; and Peng, Daogang (2020) "Application of Improved Particle Filter and Wavelet Packet in Turbine Vibration Diagnosis," Journal of System Simulation: Vol. 28: Iss. 11, Article 25.
DOI: 10.16182/j.issn1004731x.joss.201611025
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss11/25

First Page

2823

Revised Date

2016-01-04

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201611025

Last Page

2831

CLC

TP391.9

Recommended Citation

Xia Fei, Hao Shuotao, Zhang Hao, Peng Daogang. Application of Improved Particle Filter and Wavelet Packet in Turbine Vibration Diagnosis[J]. Journal of System Simulation, 2016, 28(11): 2823-2831.

DOI

10.16182/j.issn1004731x.joss.201611025