Reliability analysis of large phased-mission systems with repairable components based on success-state sampling
Reliability analysis of large phased-mission systems with repairable components based on success-state sampling
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DOI：
10.1016/j.ress.2015.05.010
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发表时间：
2015-10-01
影响因子：
8.1
通讯作者：
Lundteigen, Mary Ann
中科院分区：
文献类型：
--
作者：
Lu, Ji-Min;Wu, Xiao-Yue;Lundteigen, Mary Ann
在许多工程应用中，一些多阶段任务系统（PMS）可能包含大量的阶段和可修复的组件。传统的基于二叉决策图（BDD）的方法或状态枚举方法可能会遭受BDD爆炸或状态爆炸。本文提出了一种大型PMS可靠性分析的非仿真方法。在我们的方法中，系统的可靠性近似的系统在离散时间的可用度。离散时间的可用性建模的成功状态的采样，这避免了BDD爆炸的阶段数的增加。此外，BDD被用来简化成功状态，使我们的模型，以避免状态爆炸问题。两个现实世界的PMS进行了分析，以说明我们的方法的时间和存储成本不增加的PMS中的组件和阶段的数量呈指数级。(C)2015爱思唯尔有限公司版权所有。
In many engineering applications, some phased-mission systems (PMS) may contain a large number of phases and repairable components. Traditional binary decision diagram (BDD) based methods or state-enumeration methods can suffer from the BDD explosion or the state explosion for this kind of PMS. This paper presents a non-simulation method for the reliability analysis of large PMS. In our approach, the system reliability is approximated by the system availability at discrete time. The discrete-time availability is modeled by the sampling of success states, which avoids the BDD explosion as the number of phases increases. Furthermore, BDDs are used to simplify success states, and enable our model to avoid the state-explosion problem. Two real-world PMS are analyzed to illustrate that the time and the storage cost of our approach do not increase exponentially with the number of components and phases in the PMS. (C) 2015 Elsevier Ltd. All rights reserved.