کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
806038 905256 2008 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Reliability importance analysis of Markovian systems at steady state using perturbation analysis
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
پیش نمایش صفحه اول مقاله
Reliability importance analysis of Markovian systems at steady state using perturbation analysis
چکیده انگلیسی

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 resources, etc.), and described by Markov models or, more generally, by discrete events dynamic systems models, the problem of sensitivity analysis remains widely open. In this paper, the perturbation method is used to estimate an importance factor, called multi-directional sensitivity measure, in the framework of Markovian systems. Some numerical examples are introduced to show why this method offers a promising tool for steady-state sensitivity analysis of Markov processes in reliability studies.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Reliability Engineering & System Safety - Volume 93, Issue 11, November 2008, Pages 1605–1615
نویسندگان
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