Descripción
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The reliability of consecutive-k-out-of-n: F repairable systems and (k1)-step Markov dependence is studied. The model analyzed in this paper is more general than those o fprevious studies given that repair time and component life times are random variables that follow a general distribution. The system has one repair service which adopts a priority repair rule based on system failure risk. Since crude simulation has proved to be inefficient for highly dependable systems, the RESTART method was used for the estimation of steady-state unavailability, MTBF and unreliability. Probabilities up to the order of1016 have been accurately estimated with little computationa leffort. In this method, a number of simulation retrials are performed when the process enters regions of the state space where the chance of occurrence of a rare event (e.g.,a system failure) is higher. The main difficulty for the application of this methodis to find a suitable function, called the importance function, to define the regions. Given the simplicity involved in changing some model assumptions with RESTART, the importance function used in this paper could be useful for dependability estimation of many systems. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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RELIABILITY ENGINEERING AND SYSTEM SAFETY |
ISSN
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0951-8320 |
Factor de impacto JCR
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1,908 |
Información de impacto
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Volumen
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95 |
DOI
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Número de revista
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3 |
Desde la página
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247 |
Hasta la página
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254 |
Mes
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ENERO |
Ranking
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