A method to inspect the rattle generated in a vehicle cabin has been developed. In the method, the waveform of overall in-cabin noise is analyzed using Wigner distribution, a kind of time-frequency analysis, and the rattle component of the waveform is condensed and separated from the background shake noise. Then the rattle component is classified into three levels, strong, middle and not detected, using a neural network. Fuzzy inference is also used to select normal waveform data. Experimental results show that the correct classification ratio of the method is more than 90%, which equals the ability of skilled inspectors.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Detection of Transient Noise of Car Interior Using Non-stationary Signal Analysis


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    International Congress & Exposition ; 1998



    Publication date :

    1998-02-23




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Detection of Transient Noise of Car Interior Using Non-stationary Signal Analysis

    Uchida, H. / Ueda, K. / Society of Automotive Engineers | British Library Conference Proceedings | 1998


    Detection of transient noise of car interior using non-stationary signal analysis

    Uchida,H. / Ueda,K. / Mazda Motor,JP | Automotive engineering | 1998



    Implementation of a synthesis tool for stationary and non-stationary interior noise of electric vehicles

    Benedikt Bugl / Hans-Peter Rabl / Stephan Töpken et al. | DataCite | 2025


    Characterization and vehicle interior noise simulation of transient Diesel clatter noise

    Locqueteau,C. / Gautier,F. / Guyader,G. et al. | Automotive engineering | 2006