Risk achievement worth is one of themostwidely utilized importancemeasures. RAWis defined as the ratio of the riskmetric value attained when a component has failed over the base case value of the riskmetric. Traditionally, both the numerator and denominator are point estimates. Relevant literature has shown that inclusion of epistemic uncertainty (i) induces notable variability in the point estimate ranking and (ii) causes the expected value of the risk metric to differ from its nominal value. We investigate the conditions under which the equality of the nominal and expected values of a reliability risk metric holds. We then study howthe presence of epistemic uncertainty affects RAWand the associated ranking.We propose an extension of RAW(called ERAW)which allows one to obtain a ranking robust to epistemic uncertainty.We discuss the properties of ERAWand the conditions under which it coincides with RAW. Weapply our findings to a probabilistic risk assessment model developed for the safety analysis of NASA lunar space missions.

Composite multilinearity, epistemic uncertainty and risk achievement worth

BORGONOVO, EMANUELE;
2012

Abstract

Risk achievement worth is one of themostwidely utilized importancemeasures. RAWis defined as the ratio of the riskmetric value attained when a component has failed over the base case value of the riskmetric. Traditionally, both the numerator and denominator are point estimates. Relevant literature has shown that inclusion of epistemic uncertainty (i) induces notable variability in the point estimate ranking and (ii) causes the expected value of the risk metric to differ from its nominal value. We investigate the conditions under which the equality of the nominal and expected values of a reliability risk metric holds. We then study howthe presence of epistemic uncertainty affects RAWand the associated ranking.We propose an extension of RAW(called ERAW)which allows one to obtain a ranking robust to epistemic uncertainty.We discuss the properties of ERAWand the conditions under which it coincides with RAW. Weapply our findings to a probabilistic risk assessment model developed for the safety analysis of NASA lunar space missions.
2012
Borgonovo, Emanuele; C. L., Smith
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11565/3744053
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