Fault isolation for light rail vehicle suspension system based on multi-sensor information fusion

Author

Xiukun Wei ; Kun Guo ; Hai Liu ; Limin Jia

Author_Institution

State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China

fYear

2013

fDate

25-27 May 2013

Firstpage

3532

Lastpage

3537

Abstract

In this paper, fault isolation issue for Light Rail Vehicle suspension system based on multi-sensor information fusion is discussed. The faults considered are the vertical damper fault and the vertical spring fault in suspension systems. The Eros is applied for similarity measurement in the fault feature database, Fast Fourier Transformation for nine sensor outputs equipped on the vehicle. After the belief function assignments are obtained by using Eros method, the belief function assignments are fused by using the rules of D-S evidence combination and the faulty component is determined and isolated. The effectiveness of the proposed method is demonstrated by a case study.

Keywords

fast Fourier transforms; fault diagnosis; inference mechanisms; mechanical engineering computing; railways; sensor fusion; springs (mechanical); suspensions (mechanical components); vibration control; D-S evidence combination; Dempster-Shafer evidence theory; Eros method; belief function assignments; fault Fourier transformation; fault feature database; fault isolation; faulty component isolation; light rail vehicle suspension system; multisensor information fusion; similarity measurement; vertical damper fault; vertical spring fault; Databases; Fault detection; Light rail systems; Shock absorbers; Vehicles; D-S evidence theory and Multi-sensor information fusion; Fault isolation; Light Rail vehicle suspension system;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2013 25th Chinese

Conference_Location

Guiyang

Print_ISBN

978-1-4673-5533-9

Type

conf

DOI

10.1109/CCDC.2013.6561560

Filename

6561560