DocumentCode :
3281806
Title :
Robust fault detection and isolation for stochastic systems
Author :
George, J. ; Gregory, I.M.
fYear :
2010
fDate :
June 30 2010-July 2 2010
Firstpage :
5421
Lastpage :
5426
Abstract :
This paper outlines the formulation of a robust fault detection and isolation scheme that can precisely detect and isolate simultaneous actuator and sensor faults for uncertain linear stochastic systems. The given robust fault detection scheme based on the discontinuous robust observer approach would be able to distinguish between model uncertainties and actuator failures and therefore eliminate the problem of false alarms. Since the proposed approach involves precise reconstruction of sensor faults, it can also be used for sensor fault identification and the reconstruction of true outputs from faulty sensor outputs. Simulation results presented here validate the effectiveness of the robust fault detection and isolation system.
Keywords :
fault diagnosis; linear systems; observers; robust control; stochastic systems; uncertain systems; discontinuous robust observer approach; isolation scheme; robust fault detection scheme; sensor fault identification; uncertain linear stochastic system; Control systems; Fault detection; Fault diagnosis; Hydraulic actuators; Monitoring; Noise robustness; Robust control; Sensor systems; Stochastic systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
ISSN :
0743-1619
Print_ISBN :
978-1-4244-7426-4
Type :
conf
DOI :
10.1109/ACC.2010.5530790
Filename :
5530790
Link To Document :
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