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首页> 外文会议>International conference on nuclear engineering >DYNAMIC FAULT TREE ANALYSIS BASED ON DYNAMIC UNCERTAIN CAUSALITY GRAPH
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DYNAMIC FAULT TREE ANALYSIS BASED ON DYNAMIC UNCERTAIN CAUSALITY GRAPH

机译：基于动态不确定因果图的动态故障树分析

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Dynamic Fault Tree (DFT) has drawn attention from comprehensive industrial systems in recent years. Many analytical approaches are developed to analyze DFT, such as Markov Chain based method, Inclusion-Exclusion Rule based method, and Sum-of-Disjoint-Product theory based method. Novel methods such as Bayesian Network and Petri Net are also used to solve DFT. However, Basic events are usually assumed unrepairable and are restricted to specific probabilistic distributions. And some methods may suffer from combination explosion. This paper applies Dynamic Uncertain Causality Graph (DUCG) to analyze DFT to overcome the aforementioned issues. DUCG is a newly proposed Probabilistic Graphic Model for large complex industrial systems which allows for dynamics, uncertainties and logic cycles. The DUCG based methodology can be summarized as event mapping, logical mapping, and numerical mapping. This paper studies how to map the PAND, FDEP, SEQ AND SPARE sequential logic gates into equivalent representations in DUCG. With the DUCG representation mode, one can analyze DFT with algorithms in DUCG. Future work will be done on benchmark tests and on software development.
机译：近年来，动态故障树（DFT）引起了综合工业系统的关注。开发了许多分析方法来分析DFT，例如基于马尔可夫链的方法，基于包含-排除规则的方法以及基于不相加和的产品理论。贝叶斯网络和Petri网等新方法也用于求解DFT。但是，通常认为基本事件是不可修复的，并且仅限于特定的概率分布。而且某些方法可能会遭受组合爆炸的困扰。本文应用动态不确定因果图（DUCG）来分析DFT以克服上述问题。 DUCG是新提出的用于大型复杂工业系统的概率图形模型，它允许动态，不确定性和逻辑周期。基于DUCG的方法可以概括为事件映射，逻辑映射和数字映射。本文研究如何将PAND，FDEP，SEQ和SPARE顺序逻辑门映射到DUCG中的等效表示形式。通过DUCG表示模式，可以使用DUCG中的算法分析DFT。将来的工作将在基准测试和软件开发上完成。

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