Title :
State machine-based fault diagnosis with application in a vehicle chassis system
Author :
Xian Zhang ; Pisu, P.
Author_Institution :
Dept. of Mech. Eng., Clemson Univ., Clemson, SC, USA
fDate :
June 30 2010-July 2 2010
Abstract :
In this paper, a novel Fault Detection and Identification (FDI) scheme based on a state machine residual estimator method is presented. The FDI scheme is applied to actuator and sensor faults in a vehicle chassis system. To cope with the multiple faults isolation problem, the state machine records and utilizes the previous fault information to determine the current fault state. Simulation results show that multiple fault detection and isolation can be successfully achieved by the proposed state-machine based FDI scheme.
Keywords :
actuators; fault diagnosis; finite state machines; sensors; vehicles; actuator; fault detection and identification; multiple faults isolation problem; residual estimator; sensor faults; state machine-based fault diagnosis; vehicle chassis system; Acceleration; Actuators; Bicycles; Control systems; Electrostatic precipitators; Fault detection; Fault diagnosis; Sensor systems; State estimation; Vehicles;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5531595