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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >XML-based modeling method of phased-mission systems subject to probabilistic common cause failures
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XML-based modeling method of phased-mission systems subject to probabilistic common cause failures

机译：基于XML的分阶段任务系统建模方法，但经概率普通的常见原因失败

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摘要

With the increasing of system scale and the growing of functional requirements and interactions within and/or among system hierarchies, there are more difficulties for safety engineers to carry out their works. Especially, the research on phased mission system (PMS) with probabilistic common cause failures (PCCFs) is still in the initial stage and has a lot of limitations, because the current researches have not yet considered the dynamic characteristics of PMSs. In this paper, a modular method is proposed as the theoretical basis to construct the components model in the PMS with PCCF. The relationships between common cause events were discussed and the probabilistic model of CCFs is extended, so that the model can fit for different statistical relations, and a module-based modeling and analysis method using binary decision diagram (BDD) and Markov model were proposed to deal with static and dynamic module in PMS respectively. Moreover, a standardization of description method for modular method using extensible markup language (XML) is given, based on which the system reliability model can be constructed by computer aided. Finally, the proposed method is demonstrated through a case study.
机译：随着系统规模的增加以及系统层次结构内和/或之间的功能性要求和相互作用，安全工程师对其作品具有更多困难。特别是，具有概率普通原因失败（PCCF）的分阶段任务系统（PMS）的研究仍处于初始阶段，并且具有很多限制，因为目前的研究尚未考虑PMS的动态特性。本文提出了一种模块化方法作为构建PCF中PMS中的组件模型的理论基础。讨论了常见原因事件之间的关系，并扩展了CCF的概率模型，使模型可以适合不同的统计关系，以及使用二进制决策图（BDD）和Markov模型的基于模块的建模和分析方法分别在PMS中处理静态和动态模块。此外，给出了使用可伸缩标记语言（XML）的模块化方法描述方法的标准化，基于系统可靠性模型可以由计算机辅助构建。最后，通过案例研究证明了所提出的方法。

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