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首页> 外文期刊>Journal of multiple-valued logic and soft computing >EVMDD-Based Analysis and Diagnosis Methods of Multi-State Systems with Multi-State Components
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EVMDD-Based Analysis and Diagnosis Methods of Multi-State Systems with Multi-State Components

机译：基于EVMDD的多状态组件多状态系统分析与诊断方法

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摘要

A multi-state system with multi-state components is a model of systems, where performance, capacity, or reliability levels of the systems are represented as states. It usually has more than two states, and thus can be considered as a multi-valued function, called a structure function. Since many structure functions are monotone increasing, their multi-state systems can be represented compactly by edge-valued multivalued decision diagrams (EVMDDs). This paper presents an analysis method of multi-state systems with multi-state components using EVMDDs. Experimental results show that, by using EVMDDs, structure functions can be represented more compactly than existing methods using ordinary MDDs. Further, EVMDDs yield comparable computation time for system analysis. This paper also proposes a new diagnosis method using EVMDDs, and shows that the proposed method can infer the most probable causes for system failures more efficiently than conventional methods based on Bayesian networks.
机译：具有多状态组件的多状态系统是系统的模型，其中系统的性能，容量或可靠性级别表示为状态。它通常具有两个以上的状态，因此可以被视为多值函数，称为结构函数。由于许多结构函数是单调递增的，因此它们的多状态系统可以用边值多值决策图（EVMDD）紧凑地表示。本文提出了一种使用EVDDD的具有多状态组件的多状态系统的分析方法。实验结果表明，通过使用EVMDD，与使用常规MDD的现有方法相比，可以更紧凑地表示结构函数。此外，EVDDD为系统分析提供了相当的计算时间。本文还提出了一种使用EVMDDs的新诊断方法，并表明与基于贝叶斯网络的常规方法相比，该方法可以更有效地推断出系统故障的最可能原因。

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