Paper Title:
Fault Diagnosis of PT Fuel System Based on Particle Swarm Optimization-Support Vector Machine
  Abstract

In order to overcome the difficulty in selecting parameters of support vector machine (SVM) when modeling the PT fuel system fault diagnosis, SVM optimized by particle swarm optimization (PSO) algorithm was proposed. The PSO-SVM model was established and the fault multi-classifiers of the SVM were got. The pressure signal of the PT fuel inlet and outlet at different rotational speed and conditions was collected. The algorithm of PSO-SVM was used to train and recognize the pressure signal. The result of experiment confirms the validity of this method through comparison of the BP-NN, SVM and the PSO-SVM.

  Info
Periodical
Chapter
Chapter 5: Materials in Energy and Environment (2)
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
2809-2813
DOI
10.4028/www.scientific.net/AMM.121-126.2809
Citation
D. Wang, X. Q. Wang, X. L. Wang, S. Liang, Y. Zhao, "Fault Diagnosis of PT Fuel System Based on Particle Swarm Optimization-Support Vector Machine", Applied Mechanics and Materials, Vols. 121-126, pp. 2809-2813, 2012
Online since
October 2011
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$32.00
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