中国民航大学学报

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基于综合相关度的飞机油耗影响参数研究

曹惠玲,王晓宇   

  1. (中国民航大学航空工程学院,天津300300)
  • 收稿日期:2014-10-12 修回日期:2014-12-23 出版日期:2016-04-23 发布日期:2016-06-03
  • 作者简介:曹惠玲(1963—),女,河北唐山人,教授,工学博士,研究方向为航空发动机性能分析与故障诊断等.
  • 基金资助:

    中央高校基本科研业务费专项(ZXH2012P007)

Research on aircraft fuel consumption influencial parameters in climbing phase based on comprehensive relevance

CAO Huiling, WANG Xiaoyu   

  1. (College of Aeronautical Engineering, CAUC, Tianjin 300300, China)
  • Received:2014-10-12 Revised:2014-12-23 Online:2016-04-23 Published:2016-06-03

摘要:

首先确定飞机爬升阶段燃油消耗影响因素,然后通过分析真实飞行QAR数据,应用灰色关联分析和相关系数构建综合相关度,优化影响参数。最后通过支持向量机建立飞机爬升阶段燃油流量模型,并用实际数据对模型进行验证。研究结果表明,优化后模型精确度高且更简单,可为航空公司监控燃油消耗提供参考。

关键词: QAR, 参数优化, 燃油流量, 灰色关联, 相关系数

Abstract:

Based on analysis of real QAR data, the influential factors of aircraft fuel consumption in climbing phase, and comprehensive relevance is established by grey correlation analysis and correlation coefficient approach, then the fuel consumption influencial parameter is optimized by comprehensive relevancy. At last, the fuel flow model is established by support vector machine (SVM), and the accuracy is verified with actual data. Research results indicate that the prediction model is accurate and simple after parameter optimization, and fuel consumption prediction is attainable.

Key words: QAR, parameter optimization, fuel flow, grey correlation, correlation coefficient

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