Title :
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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561560
