DocumentCode
3213095
Title
Multiple-model Based fault diagnosis for actuators of rail vehicle suspension
Author
Xinxin Gu ; Zehui Mao ; Bin Jiang ; Yanhao Zhan
Author_Institution
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear
2015
fDate
23-25 May 2015
Firstpage
1676
Lastpage
1681
Abstract
This paper is concerned with the design of a multiple-model based fault diagnosis scheme for suspension system of rail vehicles in order to accomplish the task of detecting and isolating faults with reference to multiple actuators. Considering the disturbance caused by rail track unevenness, the multiple actuator-faulty dynamic models together with corresponding observers are set by means of the proposed design procedure. Simulation results illustrate the effectiveness of fault alarm signals as well as the robustness of disturbance and modeling uncertainty of the railway suspension system.
Keywords
actuators; fault diagnosis; observers; railways; suspensions (mechanical components); fault alarm signals; fault detection; fault isolation; multiple actuator-faulty dynamic models; multiple-model based fault diagnosis; observers; rail track unevenness; rail vehicle suspension actuators; railway suspension system; Actuators; Observers; Rails; Springs; Suspensions; Vehicle dynamics; Vehicles; Fault detection and isolation; Multiple-model; Rail vehicle suspension;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7162189
Filename
7162189
Link To Document