Fault Diagnosis for Rail Vehicle Suspension Systems Based on Fisher Discriminant Analysis

被引：0

作者：

Wei, Xiukun ^{[1
]}

Wu, Sheng ^{[2
]}

Ding, Jianlong ^{[3
]}

Jia, Limin ^{[1
]}

Sun, Qu ^{[2
]}

Yuan, Minzhen ^{[3
]}

机构：

[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China

[2] Beijing Univ Sci & Technol, Sch Automat & Elect Engn, Beijing 100083, Peoples R China

[3] Guangzhou Metro Co, Guangzhou 510030, Peoples R China

来源：

PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES FOR RAIL TRANSPORTATION (EITRT2013), VOL II | 2014年 / 288卷

关键词：

Rail vehicle suspension systems; Fault diagnosis; Fisher discriminant analysis; Fault isolation;

D O I：

10.1007/978-3-642-53751-6_34

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, fisher discriminant analysis (FDA) is used for fault isolation and diagnosis in rail vehicle suspension systems. The suspension systems are equipped with acceleration sensors in the corners of the car body and the two bogies. The faults considered are the lateral damper faults and the lateral spring faults in suspension systems. FDA provides an optimal projection space on the basis of the training data including the fault data and normal data to classify the test data. A vehicle model is built by SIMPACK/MATLAB software with real parameters to obtain the simulation data and the effectiveness of the proposed method is demonstrated by simulation.

引用

页码：321 / 331

页数：11

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