NDLI: A novel fault-tree approach for identifying potential causes of satellite reaction wheel failure

Content Provider	IEEE Xplore Digital Library
Author	Barua, A. Sinha, P. Khorasani, K. Tafazoli, S.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que. (Barua, A.; Sinha, P.; Khorasani, K.)
Abstract	Due to unforeseen circumstances and naturally occurring faults, it is desired that an on-board fault-diagnosis system of a space vehicle be capable of detecting, isolating, identifying or classifying faults in the system. In this paper, a novel approach is proposed which strengthens existing efficient fault-detection mechanisms with an additional ability to classify different types of faults to effectively determine potential failure causes in a subsystem. This extra capability ensures a quick and efficient recovery/reconfiguration from disruptions. Our developed diagnosis/analysis procedure exploits a widely used qualitative technique called fault-tree analysis, as a diagnostic aid, for failure analysis in the attitude control subsystem (ACS) of a spacecraft. Constructed fault-trees have been able to represent combinations of events leading to different failures resulting due to artificially injected faults in a MATLAB-Simulink model of the ACS. It is important to emphasize that proposed technique has potentials for being integrated in an on-board health monitoring and diagnosis tool for space vehicles
Starting Page	1467
Ending Page	1472
File Size	239511
Page Count	6
File Format	PDF
ISBN	0780393546
DOI	10.1109/CCA.2005.1507339
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-28
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Satellites Wheels Space vehicles Failure analysis Fault detection Vehicle detection Computer languages Mathematical model Condition monitoring
Content Type	Text
Resource Type	Article

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