RESTART Simulation of Non-Markov Consecutive-K-Out-of-N: F Repairable Systems

Villén Altamirano, José (2010). RESTART Simulation of Non-Markov Consecutive-K-Out-of-N: F Repairable Systems. "Reliability Engineering & System Safety", v. 95 (n. 3); pp. 247-254. ISSN 0951-8320. https://doi.org/10.1016/j.ress.2009.10.005.

Descripción

Título: RESTART Simulation of Non-Markov Consecutive-K-Out-of-N: F Repairable Systems
Autor/es:
  • Villén Altamirano, José
Tipo de Documento: Artículo
Título de Revista/Publicación: Reliability Engineering & System Safety
Fecha: Enero 2010
Volumen: 95
Materias:
Palabras Clave Informales: Dependability, Consecutive-k-out-of-n: F repairable system, Rare-event simulation, RESTAR
Escuela: E.U. de Informática (UPM) [antigua denominación]
Departamento: Matemática Aplicada
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The reliability of consecutive-k-out-of-n: F repairable systems and (k−1)-step Markov dependence is studied. The model analyzed in this paper is more general than those of previous studies given that repair time and component lifetimes 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 of 10−16 have been accurately estimated with little computational effort. 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 method is 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.

Más información

ID de Registro: 7128
Identificador DC: http://oa.upm.es/7128/
Identificador OAI: oai:oa.upm.es:7128
Identificador DOI: 10.1016/j.ress.2009.10.005
URL Oficial: http://www.sciencedirect.com/science/journal/09518320
Depositado por: Memoria Investigacion
Depositado el: 20 May 2011 12:37
Ultima Modificación: 20 Abr 2016 16:17
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