文章基本信息

标题：An identification and grouping approach to analyze the output of a dynamic safety assessment
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作者：Luca Podofillini ; Luca Podofillini ; Davide Mercurio 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2010
卷号：2
期号：6
页码：7724-7725
DOI：10.1016/j.sbspro.2010.05.198
语种：English
出版社：Elsevier
摘要：AbstractDynamic Probabilistic Safety Assessment embeds models of the system process (typically thermo-hydraulic models) and of human operator dynamics within stochastic simulation engines. These engines generate sequences of component and operator action events, representing success, failures and other sources of variability. A challenge is to retrieve and organize the scenarios hidden in the large amount of information produced. The present paper discusses an approach for identifying and grouping the produced scenarios, based on possibilistic clustering classification; the aim is to single out the principal patterns of system evolution with respect not only to the final system states but also to the time of events and to the process evolution.
关键词：Dynamic Probabilistic Safety Assessment;Human Reliability Analysis;possibilistic clustering classification