Reliability importance analysis of Markovian systems at steady state using perturbation analysis

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Reliability importance analysis of Markovian systems at steady state using perturbation analysis

ABSTRACT: Sensitivity analysis has been primarily defined for static systems, i.e. systems described by combinatorial reliability models (fault or event trees). Several structural and probabilistic measures have been proposed to assess the components importance. For dynamic systems including inter-component and functional dependencies (cold spare, shared load, shared ressources, ....), and desc...

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15 صفحه اول

Sensitivity and importance analysis of Markov models using perturbation analysis: application in reliability studies

Sensitivity (or importance analysis) has been first defined for “static systems”, i.e. systems described by combinatorial reliability models (fault or event trees) and several measures, both structural and probabilistic, have been proposed to assess component importance. For dynamic systems including inter-component and functional dependencies (cold spare, shared load, shared ressources, ....),...

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ژورنال

عنوان ژورنال: Reliability Engineering & System Safety

سال: 2008

ISSN: 0951-8320

DOI: 10.1016/j.ress.2008.02.020