#br# 基于Bayes判别方法的舰载机着舰安全分析

舰载机着舰过程比陆基飞机着陆过程更具复杂性和危险性,舰载机着舰安全是对舰载机飞行员、航母指挥人员和机舰系统工程师的重要挑战。本文扩展了多维安全状态空间模型的内容,并在此基础上针对F-18A舰载机在CVN-65“企业号”航母上的真实着舰数据进行正态性检验,结合Bayes判别分析,提出舰载机着舰的安全状态判别方法。通过真实着舰数据检验,证明舰载机着舰安全状态判别结果正确率达到80%以上,验证了方法的有效性。实验进一步将判别结果与Fisher判别结果进行了对比,证明在较少参数情况下本方法具有更强的健壮性。

Aircraft-deck landing safety analysis based on Bayes discriminant method

The aircraft deck landing process is more complex and dangerous than land based aircraft lan ding, and the landing safety is a significant challenge to carrier pilots, aircraft commanders and engineers. The multi dimensional state space model is extended. The normality test on F 18A′s aircraft deck landing data for CVN 65 aircraft is conducted, and the safety state discrimination method of aircraft deck landing is proposed with Bayes discriminant analysis. And then based on the F 18A′s landing data, this method is applied to discriminate the safety states of aircraft deck landing. The discrimination result is basically consistent with the actual situation, with the correct rate higher than 80%, which demonstrates the effectiveness of the method. Also, the discrimination result is compared with the result of Fisher discriminant analysis, showing that the proposed method has stronger practicality in the condition of a few parameters.