Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (11): 1732-1740.doi: 10.23940/ijpe.20.11.p5.17321740

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Wave-Off Risk Evaluation of Carrier Aircraft based on Neural Network

Hui Lia,b,*   

  1. aSchool of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China;
    bHeilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing, Harbin, 150028, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: *E-mail address: hrbcu_lh@163.com

Abstract: To guarantee the security of carrier-based aircraft during wave-off maneuver process, in this paper, we propose a prediction approach of wave-off risk evaluation based on neural network. By means of the analysis on wave-off maneuver, the control model of carrier-based aircraft is constructed. Comparing the military thrust control system with the military thrust and elevator comprehensive system, we discuss the form of the wave-off safety area. Then, an improved wave-off risk evaluation approach based on neural network is represented. After defining the wave-off risk standard and safe standard, the Wave-Off Safe Area, Wave-Off Risk Area, and Wave-Off Warning Area are indicated to judge the safety of wave-off maneuvering. The experimental results show that both velocity and interference sink rate are influence factors for the signal of Landing Signal Officer, and the wave-off risk evaluation technology refines the area division of landing decision-making time. As such, the obtained results have certain reference values for pilots training and landing safety of carrier-based aircraft specifically.

Key words: wave-off, risk evaluation, neural network, carrier-based aircraft