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Robust Fault Detection and Isolation for Stochastic SystemsThis 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.
Document ID
20110009998
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
George, Jemin
(State Univ. of New York Buffalo, NY, United States)
Gregory, Irene M.
(NASA Langley Research Center Hampton, VA, United States)
Date Acquired
August 25, 2013
Publication Date
June 30, 2010
Subject Category
Mathematical And Computer Sciences (General)
Report/Patent Number
NF1676L-10419
Report Number: NF1676L-10419
Meeting Information
Meeting: 2010 American Control Conference (ACC2010)
Location: Baltimore, MD
Country: United States
Start Date: June 30, 2010
End Date: July 2, 2010
Funding Number(s)
WBS: WBS 432938.11.01.07.43.16.01
Distribution Limits
Public
Copyright
Public Use Permitted.
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