摘要
飞机着陆垂直载荷大(重着陆)是严重的安全事件,轻则对机身结构造成伤害,严重时可能导致机毁人亡.从快速存取记录器(Quick Access Recorder, QAR)记录的飞行参数数据中挖掘规律并提前预警,对飞行安全意义重大.首先使用基于动态时间规整距离的时间序列聚类分析来确定飞行操作模式,然后研究在已知和未知飞行操作模式的情况下,重着陆预警分析的效果.对比试验表明,已知飞行操作模式的情况下,重着陆预警的召回率指标较好,可以发现更多的重着陆事件,提高安全性.
Aircraft large vertical load(hard landing) is a serious safety incident which could cause harm to the aircraft and may even lead to serious plane crash. Therefore, mining rules from Quick Access Recorder data and warning in advance is of great significance to flight safety.In this paper, the flight operation mode is determined by time series clustering analysis based on dynamic time warping distance, and then the convolution neural network is used to identify the hard landing under different flight operation modes and identify the hard landing under unclassified flight operations. The comparison of the recognition results shows that the former is better than the latter.
引文
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