NDLI: Fault-Tree Analysis by Fuzzy Probability

Content Provider	IEEE Xplore Digital Library
Author	Tanaka, Hideo Fan, L. T. Lai, F. S. Toguchi, K.
Copyright Year	1963
Abstract	In conventional fault-tree analysis, the failure probabilities of components of a system are treated as exact values in estimating the failure probability of the top event. For many systems, it is often difficult to evaluate the failure probabilities of components from past occurrences because the environments of the systems change. Furthermore, it might be necessary to consider possible failure of components even if they have never failed before. We, therefore, propose to employ the possibility of failure, viz. a fuzzy set defined in probability space. The notion of the possibility of failure is more predictive than that of the probability of failure; the latter is a limiting case of the former. In the present approach based on a fuzzy fault-tree model, the maximum possibility of system failure is determined from the possibility of failure of each component within the system according to the extension principle. In calculating the possibility of system failure, some approximation is made for simplicity.
Sponsorship	IEEE Reliability Society
Starting Page	453
Ending Page	457
Page Count	5
File Size	709426
File Format	PDF
ISSN	00189529
Volume Number	R-32
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1983-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy sets Failure analysis Uncertainty Accidents Fuzzy set theory Fault trees Laboratories Probability Statistics Shape Probability of failure Fault-tree analysis Fuzzy-set theory Extension principle Possibility of failure
Content Type	Text
Resource Type	Article
Subject	Safety, Risk, Reliability and Quality Electrical and Electronic Engineering

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