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USE OF HERA TO INFORM HUMAN RELIABILITY ANALYSIS

机译:使用HERA通知人类可靠性分析

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This paper discusses the Human Event Repository and Analysis (HERA) database system sponsored by the U.S. Nuclear Regulatory Commission (NRC) to collect human performance information to support its human reliability analysis (HRA) and potentially human factors applications. The discussion of this paper focuses on the HRA aspect. Lack of sufficient and appropriate human performance data has been a key factor affecting HRA quality. Consequently this could affect the qualities of PRA and risk-informed decision-making. The HERA system has been developed to provide needed data to improve HRA quality. The HERA system consists of a data collection methodology and process to collect quality human performance information and software to process data. The data collection methodology and process are discussed in an NRC technical report. This paper discusses the types of human performance information that currently can be generated from the HERA software. Human performance information regarding an individual event (e.g., sequence of the event) and detailed analysis of a specific human response can be directly obtained from HERA. Human performance observations from multiple events require further process. HERA's approach for obtaining such insights provides mechanisms to identify the information of interest and export the information in a standard format to data analysis software for further analysis, e.g., factor analysis. This gives analysts freedom to choose the methods and software for data analysis.
机译:本文讨论了由美国核监管委员会(NRC)赞助的人类事件存储库和分析(HERA)数据库系统,以收集人力信息,以支持其人力可靠性分析(HRA)和潜在的人为因素应用。本文的讨论侧重于HRA方面。缺乏足够的人性绩效数据是影响HRA质量的关键因素。因此,这可能会影响PRA和风险信息的决策。已经开发了HERA系统以提供所需的数据以提高HRA质量。 HERA系统由数据收集方法和流程组成,以收集质量人力性能信息和软件来处理数据。 NRC技术报告中讨论了数据收集方法和过程。本文讨论了目前可以从HERA软件生成的人力绩效信息的类型。关于单个事件的人类绩效信息(例如,事件的顺序)和对特定人类反应的详细分析可以直接从HERA获得。来自多个事件的人类绩效观察需要进一步的过程。 Hera获得此类见解的方法提供了识别兴趣信息的机制,并以标准格式导出信息以进行数据分析软件,以进一步分析,例如因子分析。这使分析师自由选择用于数据分析的方法和软件。

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