基于多元线性回归分析的海军航空兵飞行训练油料消耗预测
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国家社科基金军事学项目(14GJ003-107)


Oil Consumption Forecast of Naval Aviation Flight Training Based on Multiple Linear Regression Analysis
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    摘要:

    为提高油料储运决策质量,对海航飞行训练油料消耗进行预测。以海航某场站飞行训练航油消耗为研究 对象,针对飞行训练的各个环节,对航空油料消耗的影响因素进行量化分析,采用多元线性回归分析,建立飞机油 料消耗量的预测模型,利用最小二乘法,根据飞行训练中的相关数据,得到飞行训练中航空油料消耗量的统计值, 并通过实例进行验证。实例验证表明:该方法能够准确地预测航空油料的消耗,较好地指导场站油库的保障工作。

    Abstract:

    In order to improve the quality of fuel storage and transportation decisions, the fuel consumption of naval aviation flight training is predicted. Taking the aviation fuel consumption of flight training at a navy aviation station as the research object, the influential factors of aviation fuel consumption are quantified for each link of flight training. Multivariate linear regression analysis is used to establish a predictive model of aircraft fuel consumption. In the two-fold method, according to the relevant data in flight training, the statistical value of aviation fuel consumption in flight training is obtained and verified by an example. The example verification shows that this method can accurately predict the consumption of aviation fuel and better guide the depot maintenance work.

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引用本文

周弘哲.基于多元线性回归分析的海军航空兵飞行训练油料消耗预测[J].,2020,39(11).

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  • 收稿日期:2020-06-20
  • 最后修改日期:2020-07-23
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  • 在线发布日期: 2021-01-25
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