Results from a neural network study of the noise data from a full-scale XV-15 tilt-rotor are presented. Specifically, this database was acquired during the 1998 NASA Ames 80-by 120-foot wind tunnel test to establish the blade-vortex-interaction noise signature. The present study has three objectives: 1) To conduct a neural-network-based quality assessment of the noise data; 2) To obtain neural network representations of the noise data and to demonstrate their sensitivity to test conditions; 3) To obtain neural-network-based noise predictions. Overall, neural networks are successfully used to assess the quality of the noise data and to represent the complete database as well as to predict tilt rotor noise using the minimal amount of input data. As major findings, the data quality is found to be acceptable, and accurate neural network representations are obtained for the test-condition sensitivity cases.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Neural network representation of external tilt-rotor noise


    Additional title:

    Repräsentation der Schallerzeugung eines Schwenkrotors mit einem neuronalen Netz


    Contributors:

    Published in:

    Publication date :

    2002


    Size :

    6 Seiten, 10 Bilder, 10 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Neural Network Representation of External Tilt-Rotor Noise

    Kottapalli, S. | Online Contents | 2002


    Neural network representation of experimental tilt-rotor noise

    Kottapalli, Sesi / Kitaplioglu, Cahit | AIAA | 2000


    Tilt Rotor Aircraft Noise Reduction

    MISIOROWSKI MATTHEW P / SCHMAUS JOSEPH H | European Patent Office | 2023

    Free access

    Tilt rotor aircraft noise reduction

    MISIOROWSKI MATTHEW P / SCHMAUS JOSEPH H | European Patent Office | 2023

    Free access

    Advances in Tilt Rotor Noise Understanding

    George, A. R. / Coffen, C. D. / Ringler, T. D. et al. | British Library Conference Proceedings | 1992