Research on Information Analysis and Prevention Strategy of Flight Fatigue Events

Jun-Jie Liu, Huijuan Yan, Meiye Cui
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Abstract

This research is aimed to study potential causal factors of pilot fatigue events and patterns of different consequences caused by theses events, and to put forward corresponding improvement measures. Firstly, taking 250 typical fatigue events collected from ASRS in 2012-2016 as samples, the Element Event Analysis Method (EEAM) is used to split the content of the reports, in this way, 5 fatigue causes, 6 contributory causes and 7 event consequences are obtained. Secondly, using ECCAIRS encoding rules to make fatigue reports encoding rules, which can encode the sample events information, then the effective actions based on different events encoding are taken. Taking a fatigue report from ASRS as an example, the empirical analysis results show that fatigue events can be effectively and quickly distinguished through classification analysis and scientific encoding of the acquired flight fatigue events, at the same time, corresponding control measures could be conceived and taken in an appropriate manner.
飞行疲劳事件信息分析与预防策略研究
本研究旨在研究飞行员疲劳事件的潜在原因,以及这些事件造成的不同后果的规律,并提出相应的改进措施。首先,以2012-2016年ASRS采集的250个典型疲劳事件为样本,采用元素事件分析法(EEAM)对报告内容进行分解,得到5个疲劳原因、6个促成原因和7个事件后果。其次,利用eccrairs编码规则制定疲劳报告编码规则,对样本事件信息进行编码,并根据不同的事件编码采取有效的动作;实证分析结果表明,通过对采集到的飞行疲劳事件进行分类分析和科学编码,可以有效、快速地识别疲劳事件,同时可以构思和采取相应的控制措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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