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Reliability Analysis of $k$-out-of- $n$ Systems With Single Cold Standby Using Pearson Distributions

机译:使用Pearson分布对具有单冷备用的$ k $超出$ n $的系统进行可靠性分析

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摘要

$k$-out-of-$n$ systems with cold standby units are typically studied for unit lifetime distributions that allow analytical tractability. Often, however, these distributions differ significantly from reality. In this paper, we present an analytical approach to compute the mean failure time for $k$ -out-of-$n$ systems with a single cold standby unit for the wide class of lifetime distributions that can be captured by the Pearson distribution. The method requires the first four statistical moments of the unit's lifetime distribution to be given, and computes the mean failure time using the Pearson distribution as an intermediate vehicle during the numerical integration. Experimental results for various instances of the Weibull distribution show that the numerical accuracy of the approach is high, with less than 0.5 percent error across a large range of $k$ -out-of-$n$ systems.
机译:通常研究具有冷备用设备的$ k $以外的$ k $系统,以了解允许分析易处理性的设备寿命分布。但是,这些分布通常与现实有很大的不同。在本文中,我们提出了一种分析方法,可以计算具有单个冷备用单元的$ k $ -out-of-n $$系统的平均故障时间,以适用于Pearson分布可以捕获的各种寿命分布。该方法要求给出设备寿命分布的前四个统计矩,并在数值积分期间使用Pearson分布作为中间工具来计算平均故障时间。针对Weibull分布的各种实例的实验结果表明,该方法的数值精度很高,在$ k $ -out-of- $ n $系统范围内,误差小于0.5%。

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