Flight Operation Risk Assessment Method Based on BP Neural Network Algorithm

摘要：

For improving the level of aviation safety management of China, based on BP neural network algorithm, a method for flight operation risk assessment was explored. In this method, B737 and A320 aircrafts were selected as samples, flight scenario during approach and landing phase was constructed by using FDR/QAR data, a risk index system was studied to quantify the risk of specific flight scenario, a set of pilot questionnaire was designed, and a risk model was trained by pilot experiences. The accuracy and reasonability of the estimated risk value were verified by FOQA results of real flights. This method provides a scientific tool for airlines to monitor flight operation risk, and it is helpful for authorities to enhance industrial safety management.

关键词： air transportation flight operation risk assessment risk management flight scenario BP neural network

作者: YU Liling XIAO Xianbo WANG Haofeng LI Bin XU Xiangsong

作者单位: Centre of Aviation Safety Technology, CAAC, Beijing 100028, China

会议类型: 国际会议

会议名称: The 2010 International Symposium on Safety Science and Technology(2010 安全科学与技术国际会议)

会议地点: 杭州

会议语种:英文

页码: 200-206

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）