Dynamic safety assessment: Scenario identification via a possibilistic clustering approach

L. Podofillini, E. Zio, D. Mercurio and V.N. Dang

Reliability Engineering and System Safety, 2010, vol. 95, issue 5, 534-549

Abstract: Dynamic safety and reliability methodologies aim at quantitatively describing the integrated dynamic response of the systems/components/operating crew during an accident by combining the models of the underlying process dynamics and human operator actions with the stochastic processes governing the failure, repair and state transitions of components and systems. The amount of information produced by such dynamic analyses, in terms of scenarios and probability distributions of the occurring events, is very broad and usually calls for a significant effort in the post-processing phase.

Keywords: Dynamic safety assessment; Dynamic risk assessment; Dynamic reliability; Monte Carlo; Fuzzy clustering (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:95:y:2010:i:5:p:534-549

DOI: 10.1016/j.ress.2010.01.004

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