Abstract
This paper proposes a data-driven aircraft flight performance comparative analysis method based on QAR data. First of all, select the target aircraft types and the competing types, and randomly extract a certain amount of QAR data for each model, extract the key parameters that reflect the flight performance from QAR data. Secondly, based on the combination of single-parameter analysis and multi-parameter analysis methods, analyze and compare the key performance parameters of each aircraft type. At last, discover and analyze the potential differences in data, in order to provide support for aircraft flight performance improvement and flight safety.
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