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.

• Periodical: Applied Mechanics and Materials (Volumes 121-126)
• Pages: 2809-2813
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.121-126.2809
• Online since: October 2011
• Authors: Dong Wang, Xin Qing Wang, Xiao Long Wang, Sheng Liang, Yang Zhao
• Keywords: Fault Diagnosis, Particle Swarm Optimization Algorithm (PSO), PT Fuel System, Support Vector Machine (SVM)

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