Fault Diagnosis of PT Fuel System Based on Particle Swarm Optimization-Support Vector Machine

摘要：

　　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.

关键词： Support vector machine Particle swarm optimization PT fuel system Fault diagnosis

作者: Dong Wang Xin-qing Wang Xiao-long Wang Sheng Liang Yang Zhao

作者单位: Engineering Institute of Corps of Engineers, PLA University of Science and Technology,Nanjing, 210007, China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 2809-2813

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）