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Quantitative Analysis of Dynamic Fault Trees Based on the Coupling of Structure Functions and Monte Carlo Simulation

Year: 2014

Type: article

Abstract: This paper focuses on the quantitative analysis of Dynamic Fault Trees (DFTs) by means of Monte Carlo simulation. In a previous article, we defined an algebraic framework allowing to determine the structure function of DFTs. We exploit this structure function and the minimal cut sequences that it allows to determine, to know the failure mode configuration of the system, which is an input of Monte Carlo simulation. We show that the results obtained are in good accordance with theoretical results and that some results, such as importance measures and sensitivity indexes, are not provided by common quantitative analysis and yet interesting. We finally illustrate our approach on a DFT example from the literature. Copyright © 2014 John Wiley & Sons, Ltd.

Source: Quality and Reliability Engineering International

DOI: 10.1002/qre.1728

Authors: G. Merle, J. -M. Roussel, J. -J. Lesage, V. Perchet, N. Vayatis

Institutions: École Normale Supérieure Paris-Saclay, Laboratoire de Probabilités et Modèles Aléatoires, Center for MathematicaL studies and their Applications

Language: English

Topic: Risk and Safety Analysis

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W1490779206

FWCI: 2.609

Cites: 40

Cited by: 42

Related to: 10