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A stochastic approach to consequence tree analysis
Author(s) -
Schäbe Hendrik
Publication year - 1994
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.4680100313
Subject(s) - event tree , tree (set theory) , event (particle physics) , event tree analysis , sequence (biology) , fault tree analysis , set (abstract data type) , computer science , tree diagram , mathematics , statistics , engineering , reliability engineering , combinatorics , posterior probability , physics , quantum mechanics , biology , genetics , programming language , bayesian probability
In this paper a stochastic approach to consequence tree analysis is considered. A consequence tree is a set of events logically combined by OR and AND connections that occur in sequence, some being prerequisites for others. Consequence trees are applicable to failure propagation in plants. Facilitating paths and inhibiting cuts are defined and considered. The distribution of the time the system needs to reach a certain top event is obtained. Probability weights are defined that can be used to obtain the weakest link in the consequence tree.