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