Title :
Observer-based fault detection for Rail Vehicle Suspension Systems
Author :
Yue Wang ; Zehui Mao ; Bin Jiang
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fDate :
May 31 2014-June 2 2014
Abstract :
This paper is concerned with the design of an observer-based fault detection module for nonlinear rail vehicle suspension systems with the method of restructuring states and faults which can affect the system performance. An alarm signal will be sent by the designed observer if the residual evaluation is larger than a prescribed threshold when there are detectable actuator and sensor faults. The track irregularity generated by the spatial power spectral density is regarded as the system disturbances. Simulation result shows the effectiveness of the proposed method for Rail Vehicle Suspension Systems´ fault detection.
Keywords :
actuators; fault diagnosis; nonlinear control systems; observers; railway engineering; railways; sensors; suspensions (mechanical components); vehicle dynamics; actuator; alarm signal; nonlinear rail vehicle suspension systems; observer-based fault detection module design; residual evaluation; sensor fault detection; spatial power spectral density; states restructuring; system disturbances; system performance; track irregularity; Equations; Fault detection; Observers; Rails; Suspensions; Vectors; Vehicles; Fault Detection; Observer; Rail Vehicle Suspension Systems;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852661
