Noise Classification of Aircrafts using Artificial Neural Networks 2012-36-0620
In this paper an algorithm for the classification of aircrafts composing the commercial fleet currently operating in the Chilean airspace is described. This classification is based on certain acoustic descriptors obtained at a specific noise monitoring point, which are used as inputs for a Feed-Forward Artificial Neural Network. As a result, determined classification groups for the evaluated aircraft models are obtained, so that aircrafts of similar size and technology belong to the same group.
Citation: Osses, A., Gomez, I., Glisser, M., Gerard, C. et al., "Noise Classification of Aircrafts using Artificial Neural Networks," SAE Technical Paper 2012-36-0620, 2012, https://doi.org/10.4271/2012-36-0620. Download Citation
Author(s):
Alejandro Osses, Ismael Gomez, Max Glisser, Christian Gerard, Ricardo Guzman
Affiliated:
Sociedad Acustical S.A., Gerard Ingenieria Acustica SpA, Direccion General de Aeronautica Civil, DGAC
Pages: 6
Event:
SAE Brasil International Noise and Vibration Colloquium 2012
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Neural networks
Aircraft
Fleets
Mathematical models
Acoustics
Noise
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