Availability prediction of imperfect fault coverage system with reboot and common cause failure

Madhu Jain

International Journal of Operational Research, 2013, vol. 17, issue 3, 374-397

Abstract: This investigation is concerned with the availability characteristics of a multi-component repairable system with coverage factor and reboot delay. The time to repair the operating units is considered to be generally distributed whereas the life time, recovery time and reboot time of the units are assumed to be exponentially distributed. By introducing the supplementary variable corresponding to remaining repair time and using recursive approach, we evaluate steady state probabilities of the system states. The availability and failure frequency for different system configurations are obtained explicitly for some special distributions of repair time such as exponential, gamma and uniform distributions. The numerical experiments are performed to illustrate the computational tractability of the derived analytical results. The sensitivity analysis is carried out to examine the effect of system parameters on the reliability indices. Neuro-fuzzy results are also depicted graphically to explore the possibility of soft computing approach for the performance prediction of complex redundant systems.

Keywords: system availability; general repair; supplementary variables; imperfect fault coverage; reboot delay; common cause failure; neuro-fuzzy; failure frequency; multi-component repairable systems; repair time; neural networks; fuzzy logic. (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (4)

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