NDLI: A Computational Framework for Prioritization of Events in Fault Tree Analysis Under Interval-Valued Probabilities

Content Provider	IEEE Xplore Digital Library
Author	Toppila, A. Salo, A.
Copyright Year	1963
Abstract	In probabilistic safety assessment (PSA), the assessed events can be prioritized using risk importance measures, which are functions of the events' failure probabilities. These probabilities can be uncertain, and consequently the resulting prioritization can be uncertain too. In this paper, we present a framework for computing the impacts of this uncertainty, which is modeled by interval-valued probabilities that establish lower and upper bounds, within which the probability may vary. Specifically, we make pairwise comparisons between events so that an event is said to dominate another if its risk importance measure is at least as high for all event probabilities that are within their respective intervals, and strictly higher for some probabilities. The dominance relations establish a partial order which can be visualized as a directed acyclic graph. We illustrate our method by analyzing the fault tree that represents the residual heat removal system of a nuclear reactor. The results for this fault tree with 31 events and 147 minimal cut sets was solved in seconds using a tailored algorithm. Theoretical properties of the algorithm suggest that much larger models can still be solved in reasonable time.
Sponsorship	IEEE Reliability Society
Starting Page	583
Ending Page	595
Page Count	13
File Size	1955192
File Format	PDF
ISSN	00189529
Volume Number	62
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Fault trees Measurement uncertainty Upper bound Vectors Analytical models Reliability probabilistic safety assessment Epistemic uncertainty fault tree analysis interval-valued probability prioritization
Content Type	Text
Resource Type	Article
Subject	Safety, Risk, Reliability and Quality Electrical and Electronic Engineering

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