DocumentCode :
2566238
Title :
Aerospace applications of Weibull and Monte Carlo simulation with importance sampling
Author :
Bavuso, Salvatore J.
Author_Institution :
NASA Langley Res. Center, Hampton, VA, USA
fYear :
1997
fDate :
13-16 Jan 1997
Firstpage :
208
Lastpage :
210
Abstract :
Recent developments in reliability modeling and computer technology have made it practical to use the Weibull time-to-failure distribution to model the system reliability of complex fault-tolerant computer-based systems. These system models are becoming increasingly popular in space system applications as a result of mounting data that support the decreasing Weibull failure distribution and the expectation of increased system reliability. This presentation introduces the new reliability modeling developments and demonstrates their application to a novel space system application. The application is a proposed guidance, navigation and control system for use in a long duration manned spacecraft for a possible Mars mission. Comparisons to the constant failure rate model are presented and the ramifications of doing so are discussed
Keywords :
Monte Carlo methods; Weibull distribution; aerospace computing; aerospace simulation; failure analysis; fault tolerant computing; reliability; reliability theory; special purpose computers; Mars mission; Monte Carlo simulation; Weibull time-to-failure distribution; aerospace applications; complex fault-tolerant computer-based systems; guidance/navigation/control system; importance sampling; manned spacecraft; space system applications; system reliability; Application software; Distributed computing; Fault trees; Mathematical model; Monte Carlo methods; Power system modeling; Power system reliability; Predictive models; Space technology; Sparse matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability and Maintainability Symposium. 1997 Proceedings, Annual
Conference_Location :
Philadelphia, PA
ISSN :
0149-144X
Print_ISBN :
0-7803-3783-2
Type :
conf
DOI :
10.1109/RAMS.1997.571708
Filename :
571708
Link To Document :
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