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.


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    Title :

    Noise Classification of Aircrafts using Artificial Neural Networks


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE Brasil International Noise and Vibration Colloquium 2012 ; 2012



    Publication date :

    2012-11-25




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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