کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
806764 | 1468239 | 2014 | 5 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: An algorithmic approach for the dynamic reliability analysis of non-repairable multi-state weighted k-out-of-n:G system An algorithmic approach for the dynamic reliability analysis of non-repairable multi-state weighted k-out-of-n:G system](/preview/png/806764.png)
• A multi-state weighted k-out-of-n:G system is studied.
• A Monte-Carlo simulation algorithm is provided for the dynamic analysis.
• Numerics are presented when the components׳ degradation follow the Markov process.
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.
Journal: Reliability Engineering & System Safety - Volume 131, November 2014, Pages 61–65