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Identifying training deficiencies in military pilots by applying the human factors analysis and classification system

机译:通过应用人为因素分析和分类系统识别军事飞行员的训练缺陷

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摘要

Without accurate analysis, it is difficult to identify training needs and develop the content of training programs required for preventing aviation accidents. The Human Factors Analysis and Classification System (HFACS) is based on Reason’s system-wide model of human error. In this study 523 accidents from the R.O.C. (Republic of China) Air Force were analyzed in which 1,762 human errors were categorized. The results of the analysis showed that errors of judgment and poor decision-making were commonly reported amongst pilots. As a result it was concluded that there was a need for military pilots to be trained specifically in making decisions in tactical environments. However, application of HFACS also allowed the identification of systemic training deficiencies within the organization further contributing to the accidents observed.
机译:没有准确的分析,就很难确定培训需求并制定预防航空事故所需的培训计划的内容。人为因素分析和分类系统(HFACS)基于Reason的全系统人为错误模型。在这项研究中,有523起来自中华民国的事故(中华民国)对空军进行了分析,其中对1,762人为错误进行了分类。分析结果表明,飞行员中普遍报告有判断错误和决策错误。结果得出结论,需要对军事飞行员进行专门的战术环境决策培训。但是,HFACS的应用还可以识别组织内部的系统性培训缺陷,从而进一步加剧观察到的事故。

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  • 作者

    Li Wen-Chin; Harris Don;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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