DocumentCode :
3476311
Title :
An application of diagnostic inference modeling to vehicle health management
Author :
Bartolini, Antony ; Sheppard, John W. ; Munns, Thomas E.
fYear :
2001
fDate :
2001
Firstpage :
706
Lastpage :
717
Abstract :
We discuss the approach we have taken to applying diagnostic modeling and associated reasoning techniques to the problem of diagnosing and prognosing faults. as part of vehicle health, management systems. We present a brief background of diagnostic fault modeling based on lessons learned from ongoing research as part of the NASA/FAA Aviation Safety Program. We discuss the application of these techniques and possible implementation scenarios to commercial aircraft health management. We identify information sources available on a typical commercial transport and discuss methods for evaluating them, either singly or in combination, to establish knowledge of the current or predicted health state of the aircraft
Keywords :
aerospace expert systems; aerospace simulation; aircraft maintenance; aircraft testing; condition monitoring; diagnostic expert systems; diagnostic reasoning; electronic data interchange; fault diagnosis; AI-ESTATE; BIT requirements; NASA Aviation Safety Program; commercial aircraft; component maintenance problems; diagnostic inference model; exchange formats; fault universe; integrated. diagnosis; interface boundaries; problem encapsulation; real-time diagnostics; software malfunctions; system diagnosis; transportable software; vehicle health management systems; Aerospace control; Aerospace safety; Air accidents; Aircraft; Health and safety; Intelligent vehicles; NASA; Real time systems; Technology management; Vehicle safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AUTOTESTCON Proceedings, 2001. IEEE Systems Readiness Technology Conference
Conference_Location :
Valley Forge, PA
ISSN :
1080-7225
Print_ISBN :
0-7803-7094-5
Type :
conf
DOI :
10.1109/AUTEST.2001.949454
Filename :
949454
Link To Document :
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