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Reliability and Reliability Importance of Weighted-$r$-Within-Consecutive-$k$-out-of-$n: F$System

机译:加权- $ r $ -连续内- $ k $ -out-of- $ n:F $ 系统

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In this paper, we consider a weighted-n$r$n-within-consecutive-n$ k$n-out-of-n$n:F$nsystem. The weighted system has in generaln$n$ncomponents, each one having a positive integer weightn${w_i}, i= 1,2, ldots,n$n. The weighted-n$r$n-within-consecutive-n$ k$n-out-of-n$n:F$nsystem fails if and only if the total weight of failed components amongn$k$nconsecutive components is at leastn$r$n. We introduce a binomial-type weighted scan statistic and study the reliability, the Birnbaum, improvement potential importance and Bayesian reliability importance of the system taken into consideration. We develop an explicit closed-form formula for the evaluation of reliability and reliability importance measures of a weighted-n$r$n-within-consecutive-n$ k$n-out-of-n$n:F$nsystem and demonstrate the results numerically. We present a study showing the effectiveness of the method in terms of CPU time.
机译:在本文中,我们考虑了一个加权n $ r $ n-within-conecutive-n $ k $ n-out-of-n $ n:F $ nsystem。加权系统通常具有<内联式xmlns:mml =“ http://www.w3.org/1998/Math/MathML” xmlns:xlink =“ http://www.w3.org/1999/xlink” > $ n $ n个组件,每个组件均具有正整数权重n $ {w_i},i = 1,2 ,ldots,n $ n。加权n <内联公式xmlns:mml =“ http://www.w3.org/1998/Math/MathML” xmlns:xlink =“ http://www.w3.org/1999/xlink”> < tex-math符号=“ LaTeX”> $ r $ n-within-conecutive-n $ k $ n-out-of-n <内联公式xmlns:mml =“ http://www.w3.org/1998/Math/MathML” xmlns:xlink =“ http://www.w3.org/1999/ xlink“> $ n:F $ nsystem失败,且仅当 $ k $ n个连续组件至少为n $ r $ n。我们引入了一个二项式加权扫描统计量,并研究了系统的可靠性,Birnbaum,改进潜力重要性和贝叶斯可靠性重要性。我们开发了一个显式的封闭式公式,用于评估加权n的线性度和可靠性重要性度量。xmlns:mml =“ http://www.w3.org/1998/Math/MathML” xmlns:xlink =“ http://www.w3.org/1999/xlink”> $ r $ n-within-conecutive-n <内联公式xmlns:mml =“ http://www.w3.org/1998/Math/MathML” xmlns:xlink =“ http://www.w3.org/1999/xlink”> $ k $ n-out-of-n $ n:F $ nsystem和用数字证明结果。我们目前进行的一项研究显示了该方法在CPU时间方面的有效性。

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