Abstract:

In order to reduce or avoid the occurrence of unsafe events caused by pilot operation and ensure the safety of civil aviation flight operation, the overall orientation and pilot operating style during flight operation were studied in depth. Based on QAR data of a B737-800 fleet, firstly, the characteristic parameters of the pilot's operation style in multiple flight phases were extracted to build a data set. Then, GMM clustering method was used to classify the data sets. Finally, the analysis of variance was used to analyze the aircraft status under the influence of different operating styles. The results show that the pilots' operation styles can be divided into three distinct categories: radical, ordinary and conservative. The flight operations of pilots with the same operating style show similar characteristics as a whole. There are significant differences in aircraft flight status under the control of pilots with different operation styles. QAR data can be used to accurately judge the operation style of the pilots in the fleet, identify the overall characteristics of the pilots' operation, and evaluate the operational risks of pilots with different operation styles in flight practice, so as to further help standardize the pilot's operation behavior and improve the pilot's operation ability.

Key words: quick access recorder(QAR) data, pilot, flight operation style, Gaussian mixture model (GMM), clusteri algorithm