Investigation of factors affecting aircraft vortex encounters

Al-Mahadin, Aziz; Dalkılıç, Serdar

doi:10.1109/icaset.2018.8376807

Cited by 2 publications

(4 citation statements)

References 6 publications

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“…The potential hazard of a vortex on a following airplane can vary depending on a number of parameters such as the type of following and the leading airplanes, the flight phase, the airplane weight, the wing size, airplane configuration and the weather conditions. Encountering vortex can be hazardous during flight, in particular, at landing and takeoff flight phases, where the airplanes are required to fly within constrained flight paths, which makes vortex encounter avoidance and recovery more difficult [2] and [4]. For the purpose of this research, 181 FDR records are collected which were reported to contain vortex encounters.…”

Section: Wing Tip Vortices and Critical Parametersmentioning

confidence: 99%

“…For the purpose of this research, 181 FDR records are collected which were reported to contain vortex encounters. In addition, another 29 records are utilized which were reported to contain other flight events such as wind shear and hard landing [2]. These later records are used to compare flight events and to test the appropriateness of the various NN techniques to discriminate vortex encounters from other flight events.…”

Section: Wing Tip Vortices and Critical Parametersmentioning

confidence: 99%

“…In this research, two types of models are considered: a 2-class model which contains either points to vortex encounter or not, and a 3-class model which additionally includes a third class indicating a possible vortex encounter. Class 1 always indicates vortex encounter, Class 2 indicates a possible vortex encounter, and Class 3 indicates a non-vortex encounter with probability values of 1, 0.5 and 0, respectively [2], as shown in Table II. Number of input vectors are larger than records since some FDR records contain more than one vortex or flight event.…”

Section: Selection Of Classes and Input Vectorsmentioning

confidence: 99%

“…Fuzzy linguistic variables were used to model data from flight data recorders (FDRs) and pilot reports. The fuzzy rules were derived from a collection of 54 pilot reports [2] of vortex encounters and 210 records of flight events from FDRs. An average success rate of identification of 83.7% was obtained.…”

Section: Introductionmentioning

confidence: 99%

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Recognition of Airplane Wing-Tip Vortices Encounters Using Neural Networks

Al-Mahadin¹,

Bouslama²

2019

IJMLC

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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.

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Section: Wing Tip Vortices and Critical Parametersmentioning

confidence: 99%

Section: Wing Tip Vortices and Critical Parametersmentioning

confidence: 99%

Section: Selection Of Classes and Input Vectorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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