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Rapid Assessment of System-of-Systems (SoS) Mission Reliability Based on Markov Chains

机译:基于马尔可夫链的系统系统(SOS)任务可靠性的快速评估

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Traditional reliability analysis methods can't perform well when applied to evaluating system-of-systems (SoS) reliability due to SoS's complexity of constituent systems and evolvability of its architecture. On the basis of analyzing the relationship between SoS capabilities and mission reliability, this work proposed a Markov chains model which can analyze SoS mission reliability quickly. We divide SoS states into three levels according to its capability level to complete assigned tasks, and SoS reliability under different tasks can be evaluated and analyzed by the corresponding state space transition expression. SoS reliability states are directly determined by its capabilities, and SoS capabilities are provided by groups of systems. So analyzing SoS reliability states should start from analyzing the states of constituent systems. A simplified case demonstrates how to apply the proposed method to evaluate the SoS mission reliability under continuous tasks.
机译:由于SOS的组成系统的复杂性以及其架构的不可溶解,传统的可靠性分析方法在应用于评估系统系统(SOS)可靠性时不能表现良好。在分析SOS能力与任务可靠性之间的关系的基础上,这项工作提出了一种Markov链模型,可以快速分析SOS使命的可靠性。我们将SOS状态划分为三个级别,根据其能力级别以完成分配的任务,可以通过相应的状态空间转换表达式进行评估和分析不同任务下的SOS可靠性。 SOS可靠性状态通过其功能直接确定,SOS功能由系统组提供。因此,分析SOS可靠性状态应开始分析组成系统的状态。简化的案例演示了如何在连续任务下应用所提出的方法来评估SOS任务可靠性。

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