论受到随机冲击的相干系统的生存问题

IF 1 4区 数学 Q3 STATISTICS & PROBABILITY
Dheeraj Goyal, Nil Kamal Hazra, Maxim Finkelstein
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引用次数: 0

摘要

我们考虑的是受到随机冲击的相干系统,这些冲击会损坏系统中随机数量的组件。根据失效组件数量的分布,我们讨论了三种模型,即 (i) 冲击可以以相同的概率损坏任意数量的组件(包括零),(ii) 每个冲击至少损坏一个组件,以及 (iii) 一个冲击最多损坏一个组件。冲击到达时间使用三种重要的计数过程建模,即泊松广义伽马过程、泊松相位型过程和具有矩阵 Mittag-Leffler 分布的到达间时间的更新过程。针对定义的冲击模型,我们讨论了相干系统的相关可靠性特性。可修复系统的最优替换策略被视为所提模型的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

On Survival of Coherent Systems Subject to Random Shocks

On Survival of Coherent Systems Subject to Random Shocks

We consider coherent systems subject to random shocks that can damage a random number of components of a system. Based on the distribution of the number of failed components, we discuss three models, namely, (i) a shock can damage any number of components (including zero) with the same probability, (ii) each shock damages, at least, one component, and (iii) a shock can damage, at most, one component. Shocks arrival times are modeled using three important counting processes, namely, the Poisson generalized gamma process, the Poisson phase-type process and the renewal process with matrix Mittag-Leffler distributed inter-arrival times. For the defined shock models, we discuss relevant reliability properties of coherent systems. An optimal replacement policy for repairable systems is considered as an application of the proposed modeling.

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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
58
审稿时长
6-12 weeks
期刊介绍: Methodology and Computing in Applied Probability will publish high quality research and review articles in the areas of applied probability that emphasize methodology and computing. Of special interest are articles in important areas of applications that include detailed case studies. Applied probability is a broad research area that is of interest to many scientists in diverse disciplines including: anthropology, biology, communication theory, economics, epidemiology, finance, linguistics, meteorology, operations research, psychology, quality control, reliability theory, sociology and statistics. The following alphabetical listing of topics of interest to the journal is not intended to be exclusive but to demonstrate the editorial policy of attracting papers which represent a broad range of interests: -Algorithms- Approximations- Asymptotic Approximations & Expansions- Combinatorial & Geometric Probability- Communication Networks- Extreme Value Theory- Finance- Image Analysis- Inequalities- Information Theory- Mathematical Physics- Molecular Biology- Monte Carlo Methods- Order Statistics- Queuing Theory- Reliability Theory- Stochastic Processes
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