Analysis of Influencing Factors of Flight Safety and Flight Technology Based on Decision Tree Integration
Flight safety problem is the foundation and lifeline of the development of the civil aviation industry.According to the overrun situation in flight parameters monitored by QAR,this paper analyzes the main factors of influencing flight safety and pilot flight technology,so as to establish a real-time automatic early warning model based on aviation safety analysis and pilot technical assessment,which can be applied to monitor and warn of risks and reduce the incidence of flight accidents.At the same time,the Grey Correlation Analysis method is used to extract some key data items related to flight safety,and their important degree is analyzed.The prediction equation is established by using the Machine Learning model Gradient Boosting Decision Tree(GBDT)to assess the flight technology of pilots.It is found that factors such as radio altitude have a great impact on flight safety,and indicators such as TimeToGearSelUp are of great importance to the pilot's flight technology assessment.
flight safetytechnical assessmentGrey Correlation AnalysisRandom ForestGradient Boosting Decision Tree
万方数据
维普
