Recognition of Airplane Wing-Tip Vortices Encounters Using Neural Networks

Abstract

In earlier papers, the authors identified critical parameters to be used in any effective identification of aircraft vortex encounters. Various techniques of pure fuzzy logic and hybrid soft-computing approaches were used to model and successfully classify vortex encounters. In this paper, the authors consider pure neural networks models having different architectures to identify aircraft encounters of wing-tip vortices. The automatic identification of airplane vortex encounters using neural networks gives excellent accuracy when compared with manual approaches. The highest accuracies are obtained by probabilistic neural networks. They are about 93%, 73% and 83% for the overall training, the overall testing and the overall average, respectively. The achieved results confirm the effectiveness of some neural network techniques and the choice of the critical parameters to automatically identify wing-tip vortices.Index Terms-Wing tip vortices, vortex encounters, neural networks (NN), flight data records.

Developed Criteria to Improve Pilot Reporting of Airplane Vortex Encounters

“…In this research, a number of criteria were established to support the systematic analysis of flight data to identify flight events with higher accuracy. Results from this investigation and other research (Al-Mahadin, & Bouslama, 2017, 2019a, 2019b can aid the adjustment of airplane vortex separations which can reduce hazardous vortex encounters and enhance the capacity of various busy airports. Recognition of the investigated criteria by airline pilots will improve their reporting skills and increase the identification accuracy of the various flight events.…”

“…The developed criteria may aid the establishment of automatic identification of various flight events utilizing artificial intelligence techniques (Al-Mahadin, & Bouslama, 2017, 2019a, 2019b. The identification of vortex encounters from this investigation can be utilized to study the recognition of other flight events including hard landing, wind shear, turbulence, etc.…”