DocumentCode :
2439793
Title :
Prognostics and Health Management A Data-Driven Approach to Supporting the F-35 Lightning II
Author :
Brown, Edward R. ; Moore, Erin-Elaine ; McCollom, Neal N. ; Hess, Andy
Author_Institution :
BAE Syst. (North America), Worth
fYear :
2007
fDate :
3-10 March 2007
Firstpage :
1
Lastpage :
12
Abstract :
The Joint Strike Fighter (JSF) Program has developed an aggressive vision for and has specified a very stringent set of requirements for a comprehensive Prognostics and Health Management (PHM) system. This vision and the associated specified requirements has resulted in the development of perhaps the most advanced and comprehensive set of diagnostic, prognostic, and health management capabilities yet to be applied to an aviation platform. These PHM capabilities are currently being developed and integrated into the JSF Air System design. This paper will provide a top level overview summary of the current PHM concept, design, and architecture; provide a general capabilities description; and discuss overall program status. Some specific examples of system benefits, design trade-off decisions, and system integration challenges will be discussed. Particular examples of some subsystem prognostic capabilities will also be discussed.
Keywords :
aircraft maintenance; military aircraft; F-35 lightning II; Joint Strike Fighter; aircraft health management; aircraft maintenance; aircraft prognostics; aircraft reliability; Aircraft; Engineering management; Fault diagnosis; Knowledge management; Lightning; Logistics; Machine vision; Maintenance; North America; Prognostics and health management; Aircraft reliability; aircraft maintenance; prognostics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2007 IEEE
Conference_Location :
Big Sky, MT
ISSN :
1095-323X
Print_ISBN :
1-4244-0524-6
Electronic_ISBN :
1095-323X
Type :
conf
DOI :
10.1109/AERO.2007.352833
Filename :
4161628
Link To Document :
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