Research on Probabilistic Safety Analysis Approach of Flight Control System based on Bayesian Network

摘要：

　　Traditional probabilistic safety analysis methods are not suitable for modern flight control system with multi-state probability.In this paper a Bayesian Network based probabilistic safety model is built according to the state relationship between flight control system and its constituting components.A safety probability algorithm is proposed by using Universal Generating Function(UGF)combined with Clique Tree Propagation.The probability of system top failure condition and the importance of each constituting component are acquired efficiently,the safety level of the flight control system can be assed and the role of each component in the system safety can be determined.The probabilistic safety analysis approach based on Bayesian Network provide a simple and intuitive measure to deal with the safety analysis of flight control system with multi-state property,which overcome the deficiencies of traditional approach.

关键词： Flight control system Bayesian network Universal Generating Function Multi-state System

作者: Chen Kang Lu Zhong Zeng Haijun

作者单位: College of Civil Aviation,Nanjing University of Aeronautics & Astronautics,Nanjing,211106,China College of Civil Aviation,Nanjing University of Aeronautics & Astronautics,Nanjing,211106,China;Rese

会议类型: 国际会议

会议名称: 2014 Asia-Pacific International Symposium on Aerospace Technology(2014亚太航空航天技术学术会议)

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2014-09-24（万方平台首次上网日期，不代表论文的发表时间）