航空公司QAR数据挖掘与应用研究  

Study on Airline QAR Data Mining and Application

作　　者：沈晓峰 虞斌华 乔晖 SHEN Xiaofeng;YU Binhua;QIAO Hui(Shanghai Airlines,Shanghai 201100,China)

机构地区：[1]上海航空公司

出　　处：《民航学报》2019年第5期28-31,共4页Journal of Civil Aviation

摘　　要：对QAR数据分析,可以深入挖掘飞行员的飞行技术问题,从而对基于事件的传统飞行品质监控方法进行有效的补充.本文建立QAR数据分析的单维度模型和多维度模型,分别针对飞行员个体和机队开展飞行品质分析.对着陆平飘距离、 抬轮速率、 着陆载荷等典型问题进行了实例研究.Pilots'flight technology error can be examined by QAR data analysis.It is an effective complement to traditional event-based flight operation quality assurance.In this paper,single-dimensional and multi-dimensional model are built for QAR data analysis.In this way,the flight quality of single pilot and the fleet can be analyzed respectively.The landing distance,rotating velocity and landing load are studied according to real QAR data.

关 键 词：飞行品质 数据挖掘 着陆距离 着陆载荷 抬轮速率 

分 类 号：V323.1[航空宇航科学与技术—人机与环境工程]