基于贝叶斯网络的分阶段任务系统可靠性分析

Dong Liu, Chunyuan Zhang, Weiyan Xing, Rui Li
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引用次数: 7

摘要

提出了一种基于贝叶斯网络的分阶段任务系统可靠性分析方法。该方法包括三个步骤。首先,PMS的每个阶段用BN框架表示,称为phase-BN。然后,为了表示阶段间的依赖关系,将所有phase-BN组合为(1)连接代表相同组件但属于不同阶段的根节点,(2)将phase-BN的叶子节点与代表整个PMS任务的新节点连接起来。新建成的BN被命名为PMS-BN。最后,采用基于PMS-BN的离散时间BN模型进行可靠性分析。用两个实例对所提出的方法进行了阐述。基于PMS- bn的方法为分析PMS,特别是动态相的PMS提供了一种新的方法。此外,基于PMS-BN可以方便地进行故障诊断和灵敏度分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability analysis of phased-mission systems using Bayesian networks
The paper presents a Bayesian networks (BN) based method to analyze the reliability of phased-mission systems (PMS). The method includes three steps. Firstly, each phase of PMS is represented by a BN framework, named phase-BN. Then, in order to express the dependences across phases, all the phase-BN are combined by (1) connecting the root nodes that represent the same component but belong to different phases, and (2) connecting the leaf nodes of the phase-BN with a new node that represents the whole PMS mission. The new constructed BN is named PMS-BN. Lastly, the reliability analysis is performed by a discrete-time BN modeling acting on PMS-BN. Two examples are used to expatiate on the proposed approach. The PMS-BN based method provides a new way to analyze PMS, especially those with dynamic phases. Further, based on PMS-BN, fault diagnoses and sensitivity analysis can be performed easily.
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