A Complex Network Analysis Approach for Risk Increase Factor Prediction in Nuclear Power Plants

M. Rifi, M. Hibti, R. Kanawati
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引用次数: 2

Abstract

We explore applying network based metrics to predict safety metrics of components in Nuclear Power Plants (NPP). We first show how to model accident sequences as complex networks, then we conduct a statistical study over the main network metrics to show that these are highly correlated with the RIF (Risk Increase Factor) which is a very popular metric in nuclear safety studies.
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核电厂风险增加因子预测的复杂网络分析方法
我们探索应用基于网络的指标来预测核电厂组件的安全指标。我们首先展示了如何将事故序列建模为复杂的网络,然后我们对主要网络指标进行了统计研究,以表明这些指标与RIF(风险增加因子)高度相关,RIF(风险增加因子)是核安全研究中非常流行的指标。
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