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Fault Tree Analysis

2008
In this chapter, a state-of-the-art review of fault tree analysis is presented. Different forms of fault trees, including static, dynamic, and non-coherent fault trees, their applications and analyses will be discussed. Some advanced topics such as importance analysis, dependent failures, disjoint events, and multistate systems will also be presented.
Liudong Xing, Suprasad V. Amari
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Fault-Tree Analysis by Fuzzy Probability

IEEE Transactions on Reliability, 1983
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.
Tanaka, Hideo   +3 more
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Fuzzy fault tree analysis

Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 2002
Reliability of products is frequently a prime safety consideration. Interpretation of reliability is both quantitative and qualitative. Extensive quantitative analysis employing probablistic risk assessment has been widely performed to provide predicted hazard or accident minimization.
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Fault Tree Analysis Using Bit Manipulation

IEEE Transactions on Reliability, 1977
This paper describes an efficient technique for computerized fault-tree analysis. The technique is based upon binary coding of events and bit manipulation for tree reduction, reducing both computation time and computer storage requirements. The operations include generation of minimal cut sets for trees containing arbitrary AND and OR logic, and ...
Wheeler, Dean B.   +3 more
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Classification of fault trees and algorithms of fault tree analysis

Microelectronics Reliability, 1990
Abstract A new classification of fault trees is proposed, and the relationship between the new and old classifications is discussed. The new classification is illustrated with an example, and the limitation of the well-known simple prime implicant algorithm, which can work on fault trees, is shown.
Yan Chunning, Shi Dinghua
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Multistate fault-tree analysis

Reliability Engineering & System Safety, 1990
Abstract The recursive pivotal decomposition algorithm is a quantitative analysis method of binary fault-tree. In this article, the algorithm will be applied to the multistate case. As a result, a practical method of quantitative analysis of multistate fault-trees is given.
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Fault-Tree Analysis Using a Binary Decision Tree

IEEE Transactions on Reliability, 1985
Summary: A new algorithm for the production of a short disjoint-products form of a fault-tree output function is presented and discussed. This algorithm consists of a sequential binary decision process to find first big, then smaller sets of elementary system-failure states which correspond to disjoint-product terms.
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Fault-tree Analysis

IEEE Transactions on Reliability, 1974
Elmer Phibbs, S. Henry Kuwamoto
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Uncertainty Analysis of Fault-Tree Outputs

IEEE Transactions on Reliability, 1985
Summary: The multiaffine nature of the top-event probability as a function of component unavailability is recognized. This leads, under the assumption of statistically independent failures, to the derivation of an exact formula relating the variance of the system unavailability to the variances of the component unavailability.
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Fault-Tree Analysis Quantification

2009
Abstract Quantifying a fault-tree analysis is a useful tool for assessing the most likely causes of a system failure. This chapter addresses fault-tree analysis event probabilities and ranking of failure causes based on these probabilities.
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