NDLI: A fuzzy-monte carlo simulation approach for fault tree analysis

Content Provider	IEEE Xplore Digital Library
Author	Zonouz, S.A. Miremadi, S.G.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran (Zonouz, S.A.; Miremadi, S.G.)
Abstract	Fault tree analysis is one of the key approaches used to analyze the reliability of critical systems. Fault trees are usually analyzed using mathematical approaches or Monte Carlo simulation (MCS). This paper presents a fuzzy-Monte Carlo simulation (FMCS) approach in which the uncertain data is generated by the MCS approach. The FMCS approach is applied to the Weibull probability distribution which is widely been used in the analysis of reliability, availability, maintainability and safety (RAMS). Using the fuzzy arithmetic, times to failure (TTF) of the components are generated. These results are processed by a kind of fault tree (e.g. time-to-failure tree) to produce the TTF of the whole system. The FMCS can estimate the TTF of the system which contains components that fail gradually (e.g. degradation). A comparison between the FMCS and the traditional MCS approaches shows that the time order of the FMCS approach is equal to the multiplication of the time order of the traditional MCS by a fuzzy number's representing the array length
Starting Page	428
Ending Page	433
File Size	317226
Page Count	6
File Format	PDF
ISBN	1424400074
ISSN	0149144X
e-ISBN	1424400082
DOI	10.1109/RAMS.2006.1677412
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Fault trees Uncertainty Probability distribution Fuzzy logic Availability Maintenance Safety Arithmetic US Department of Transportation
Content Type	Text
Resource Type	Article

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