Fault diagnosis of Rail Vehicle Suspension Systems by using GLRT

Author

Wei, Xiukun ; Liu, Hai ; Qin, Yong

Author_Institution

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

fYear

2011

fDate

23-25 May 2011

Firstpage

1932

Lastpage

1936

Abstract

In this paper, we consider fault detection issue for Rail Vehicle Suspension Systems. The faults considered are the secondary vertical damper fault, the vertical spring fault and sensor failure. A Kalman filter is applied to generate the residual for fault detection. When there is a detectable fault, the observer sends an alarm signal if the residual evaluation is larger than a predefined threshold. The effectiveness of the proposed approach is demonstrated by simulation results for several fault scenarios.

Keywords

Kalman filters; damping; fault diagnosis; light rail systems; observers; sensors; shock absorbers; springs (mechanical); suspensions (mechanical components); GLRT; Kalman filter; alarm signal; fault detection; fault diagnosis; generalized likelihood ratio test; light rail vehicle suspension system; observer; residual evaluation; secondary vertical damper fault; sensor failure; vertical spring fault; Acceleration; Damping; Fault detection; Rail transportation; Springs; Suspensions; Vehicles; GLRT; Light vehicle suspension system; fault diagnosis;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2011 Chinese

Conference_Location

Mianyang

Print_ISBN

978-1-4244-8737-0

Type

conf

DOI

10.1109/CCDC.2011.5968516

Filename

5968516