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基于灰色马尔可夫方法的机场FOD事件预测

王维,张清栋   

  1. (taptap下载安装安卓机场学院,天津300300)
  • 收稿日期:2015-07-02 修回日期:2015-09-20 出版日期:2016-06-22 发布日期:2016-06-06
  • 作者简介:王维(1960—),男,河北丰南人,教授,硕士,研究方向为机场工程.
  • 基金资助:

    taptap下载安装安卓波音技术挑战项目(20140159204)

Airport FOD incident prediction based on Grey-Markov method

WANG Wei, ZHANG Qingdong   

  1. (Airport Engineering College, CAUC, Tianjin 300300, China)
  • Received:2015-07-02 Revised:2015-09-20 Online:2016-06-22 Published:2016-06-06

摘要:

航空器外来物损伤事件(FOD)具有原因复杂、随机发生等特点,因此很难用一般方法进行预测。采用灰色马尔可夫方法对机场未来一定时间序列航空器外来物损伤事件进行预测,建立灰色马尔可夫预测模型,实例分析表明灰色理论预测值恰好位于马尔可夫链转移概率的预测区间内,验证表明,预测结果具有较好的准确性并且该方法具有很好的适用性,能为机场航空器损伤事件的预防管理提供必要的数据支持。

 

关键词: 机场, 预测模型, 灰色马尔可夫, 航空器FOD 事件, 评价方法

Abstract:

Causes of aircraft FOD incidents are complex and random, so it is difficult to use general method to predict incident. Grey-Markov method is used to predict aircraft FOD incidents in future sequence and Grey-Markov prediction model is established, the calculation result shows that grey theory predicting data just locate in Markov chain prediction interval. The prediction result is proved accurate and the method is applicable, which can provide necessary statistical support for airport FOD prevention management.

Key words: airport, prediction model, Grey-Markov, aircraft FOD incident, evaluation method

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