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AN EFFICIENT METHOD FOR RELIABILITY EVALUATION OF MULTI-STATE NETWORKS GIVEN ALL MINIMAL PATH VECTORS

机译:给定所有最小路径向量的多状态网络可靠性评估的有效方法

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The multi-state networks under consideration consist of a source node, a sink node, and some independent failure prone components in between. The components can work at different levels of capacity. For such a network, we are interested in evaluating the probability that the flow from the source node to the sink node is equal to or greater than a demanded flow of d units. A general method for reliability evaluation of such multi-state networks is using minimal path (cut) vectors. A minimal path vector to system state d is called a d-MPs. Given that all d-MPs have been found, the issue becomes how to evaluate the probability of the union of the events that the component state vector is greater than or equal to at least one of the d-MPs. In this paper, we report an efficient recursive algorithm for this union probability evaluation based on the sum of disjoint products (SDP) principle, and name it the Recursive Sum of Disjoint Products (RSDP) algorithm. RSDP provides us with an efficient, systematic and simple approach for evaluating multi-state two-terminal network reliability given all d-MPs.
机译:所考虑的多状态网络由源节点,宿节点和介于之间的某些独立故障易置组件组成。组件可以以不同的容量工作。对于这样的网络,我们有兴趣评估来自源节点到宿节点的流量的概率等于或大于所需的D单元流。这种多状态网络的可靠性评估的一般方法使用最小路径(切割)向量。对系统状态D的最小路径向量称为D-MPS。鉴于已找到所有D-MPS,该问题成为如何评估组件状态向量大于或等于D-MP中的至少一个的事件的结合的概率。在本文中,我们报告了基于不相交产品(SDP)原则的总和的这种联盟概率评估的有效递归算法,并将其命名为递归和不相交的产品(RSDP)算法。 RSDP为我们提供了一种高效,系统和简单的方法,用于评估所有D-MPS的多状态双终端网络可靠性。

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