航空工程进展2025，Vol.16Issue(2)：160-167,8.DOI:10.16615/j.cnki.1674-8190.2025.02.18
基于贝叶斯网络的某民用飞机着陆距离研究
Research on landing distance of a civil aircraft based on Bayesian network
摘要
Abstract
Adopting the actual operation data of a domestic civil aircraft and the simulation and validation data of air-craft performance software to perform the landing distance comparison and analysis can provide the quantitative sup-port for the improvement of the aircraft's operation capability.The key conditions required for performance simula-tion calculation are extracted from the actual operation data to obtain the required landing distance(RLD)and dis-tance difference under the same conditions.The landing-related data is discretized by the quartile method,and the modeling methods are compared and selected.The network structure is learned by PC algorithm.Bayesian estima-tion is used to learn network parameters to construct the risk model of actual landing distance exceeding RLD.The posterior probability and maximum posterior hypothesis of exceeding RLD state are calculate by using Bayesian net-work accurate reasoning.The results show that the probability of exceeding RLD can be effectively reduced by flat-tening to ground time of about 7 s and grounding to ground speed of 40 knots between 18～24 s,and some sugges-tions are put forward to reduce the risk of exceeding RLD by combining relevant parameters.关键词
着陆距离/快速存取记录器(QAR)数据/性能软件/贝叶斯网络/运行建议Key words
landing distance/quick access recorder(QAR)data/performance software/Bayesian network/opera-tion suggestion分类
航空航天引用本文复制引用
王可,邵静雯,杨俊..基于贝叶斯网络的某民用飞机着陆距离研究[J].航空工程进展,2025,16(2):160-167,8.基金项目
中央高校基本科研业务费资助项目重点项目(24CAFUC01001) （24CAFUC01001）
中国民用航空飞行学院研究生创新项目基金(X2023-7) （X2023-7）
2024四川省科技成果转移转化示范项目(2024ZHCG0003) （2024ZHCG0003）
