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

Abstract

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

CLC Number:

V231

CAO Huiling, WANG Xiaoyu. Research on aircraft fuel consumption influencial parameters in climbing phase based on comprehensive relevance[J]. .

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

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