基于BDD考虑共因失效的多阶段任务系统可靠性分析方法

发布时间：2018-05-25 14:43

本文选题：多阶段任务系统 + 共因失效(CCF)　；参考：《机械设计与研究》2017年02期

【摘要】：多阶段任务系统同一部件或不同部件之间在不同任务阶段存在的相关性,对系统可靠性分析结果的准确性有着重要的影响。当考虑多阶段任务系统部件之间的共因失效时,用传统方法对系统进行可靠性分析会十分复杂繁琐。有鉴于此,提出一种基于二元决策图的考虑共因失效的多阶段任务系统可靠性分析方法。通过引入传播失效概率,建立各任务阶段扩展的故障树,并将其转化为系统BDD进行分析求解;给出多阶段任务系统的BDD算法以及系统可靠性函数的表达式,对系统进行可靠性评估。通过某柴油机冷却系统进行了可靠性分析验证,该方法能更好的处理部件间的阶段依赖性关系,而且对于共因失效问题的处理也更加简洁且计算简单易行。
[Abstract]:The correlation between the same component or different components in the multi-stage task system in different task stages has an important impact on the accuracy of the system reliability analysis results. When considering the common cause failure among the components of a multistage task system, it is very complicated to analyze the reliability of the system by the traditional method. In view of this, a method for reliability analysis of multistage mission systems based on binary decision graph is proposed, which considers common cause failure. By introducing the propagation failure probability, the extended fault tree of each task stage is established and transformed into the system BDD for analysis and solution, and the BDD algorithm and the expression of the system reliability function of the multistage task system are given. Evaluate the reliability of the system. The reliability analysis of a diesel engine cooling system shows that this method can better deal with the phase dependence relationship between components, and the treatment of common cause failure problem is more concise and easy to calculate.
【作者单位】：江西理工大学机电工程学院;
【基金】：国家自然科学基金资助项目(61463021) 江西省青年科学家培养对象计划资助项目(20144BCB23037) 江西省教育厅科学技术研究资助项目(GJJ14420)
【分类号】：TB114.3

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