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Variable Ordering to Improve BDD Analysis of Phased-Mission Systems With Multimode Failures

机译:具有多模故障的相控任务系统的可变顺序改进BDD分析

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Recently, Z. Tang, and J. B. Dugan proposed a new algorithm (DEP-BDD) based on binary decision diagrams (BDD) for reliability analysis of phased-mission systems (PMS) with multimode failures. Although the variable ordering is very important from a practical point of view, it has not been treated directly. This paper develops four ordering heuristics for DEP-BDD based on two ordinary schemes, and evaluates these schemes u00026; heuristics with hundreds of randomly generated fault trees having different sizes and structure properties. As a synthesis of the obtained performance results, we propose a heuristic selection strategy.
机译:最近,Z。Tang和J. B. Dugan提出了一种基于二进制决策图(BDD)的新算法(DEP-BDD),用于具有多模故障的相任务系统(PMS)的可靠性分析。尽管从实用的角度来看,变量排序非常重要,但尚未对其进行直接处理。本文基于两个普通的方案,开发了四种DEP-BDD的排序启发式方法,并对其进行了评估。具有数百种随机生成的具有不同大小和结构属性的故障树的启发式算法。作为获得的性能结果的综合,我们提出了一种启发式选择策略。

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