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Performance Evaluation of Generalized Multi-State k-Out-of-n Systems

机译:广义多状态k-out-n系统的性能评估

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摘要

The generalized multi-state k-out-of-n:G system model defined by Huang et al. provides more flexibilities for modeling of multi-state systems. However, the performance evaluation algorithm they proposed for such systems is not efficient, and it is applicable only when the k{sub}i values follow a monotonic pattern. In this paper, we defined the concept of generalized multi-state k-out-of-n:F systems. There is an equivalent generalized multi-state k-out-of-n:G system with respect to each generalized multi-state k-out-of-n:F system, and vice versa. The form of minimal cut vector for generalized multi-state k-out-of-n:F systems is presented. An efficient recursive algorithm based on minimal cut vectors is developed to evaluate the state distributions of a generalized multi-state k-out-of-n:F system. Thus, a generalized multi-state k-out-of-n:G system can first be transformed to the equivalent generalized multi-state k-out-of-n:F system, and then be evaluated using the proposed recursive algorithm. Numerical examples are given to illustrate the effectiveness and efficiencies of the proposed recursive algorithms.
机译:Huang等人定义的广义多态k-out-of-n:G系统模型。为多状态系统的建模提供了更大的灵活性。但是,他们为此类系统提出的性能评估算法效率不高,并且仅当k {sub} i值遵循单调模式时才适用。在本文中,我们定义了广义多状态n-f:k系统的概念。关于每个广义的多态n:F系统,存在一个等效的广义多态n:G系统,反之亦然。给出了广义多态n:f系统的最小割矢量的形式。提出了一种基于最小割矢量的高效递归算法,用于评估广义多状态n-n:F系统的状态分布。因此,广义多态k-out-n:G系统可以首先转换为等效的广义多态k-of-n:F系统,然后使用所提出的递归算法进行评估。数值例子说明了所提出的递归算法的有效性。

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