Title of article :
An algorithmic approach for the dynamic reliability analysis of non-repairable multi-state weighted k-out-of-n:G system
Author/Authors :
Eryilmaz، نويسنده , , Serkan and R?za Bozbulut، نويسنده , , Ali، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Abstract :
In this paper, we study a multi-state weighted k-out-of-n:G system model in a dynamic setup. In particular, we study the random time spent by the system with a minimum performance level of k. Our method is based on ordering the lifetimes of the system׳s components in different state subsets. Using this ordering along with the Monte-Carlo simulation algorithm, we obtain estimates of the mean and survival function of the time spent by the system in state k or above. We present illustrative computational results when the degradation in the components follows a Markov process.
Keywords :
survival function , Monte-Carlo simulation , Multi-state weighted k-out-of-n:G system
Journal title :
Reliability Engineering and System Safety
Journal title :
Reliability Engineering and System Safety