Uncertainty analysis in fault tree models with dependent basic events

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<title>Uncertainty analysis in fault tree models with dependent basic events</title>
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<namePart>Pedroni, Nicola</namePart>
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<abstract displayLabel="Summary">In general, two types of dependence need to be considered when estimating the probability of the top event (TE) of a fault tree (FT): objective dependence between the (random) occurrences of different basic events (BEs) in the FT and state-of-knowledge (epistemic) dependence between estimates of the epistemically uncertain probabilities of some BEs of the FT model. In this article, we study the effects on the TE probability of objective and epistemic dependences. The well-known Frèchet bounds and the distribution envelope determination (DEnv) method are used to model all kinds of (possibly unknown) objective and epistemic dependences, respectively. For exemplification, the analyses are carried out on a FT with six BEs. Results show that both types of dependence significantly affect the TE probability; however, the effects of epistemic dependence are likely to be overwhelmed by those of objective dependence (if present).</abstract>
<note type="statement of responsibility">Nicola Pedroni, Enrico Zio</note>
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<title>Risk analysis : an international journal</title>
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<publisher>McLean, Virginia : Society for Risk Analysis, 1987-2015</publisher>
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<identifier type="issn">0272-4332</identifier>
<identifier type="local">MAP20077000345</identifier>
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<text>10/06/2013 Volumen 33 Número 6 - junio 2013 , p. 1146-1173</text>
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