Abstract:

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.