Automotive stationary noise and vibration signals are normally analyzed using Fourier methods. However, many noise and vibration signals are non-stationary (transient or time-varying). In those situations, the time characteristics of the signals can be lost using standard Fourier methods. Lately, time-frequency (TF) analysis methods have become more popular and are applied in many different areas of NVH (Noise, Vibration, and Harshness) in order to preserve the time-frequency information. The objective of this paper is to present some of the different time-frequency analysis tools, such as the Short Time Fourier transform (spectrogram), the Gabor Transform, the Wavelet transforms (scalograms), and the Wigner-Ville Distribution. Examples of application of these techniques to automotive non-stationary noise and vibration signals are presented.


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    Title :

    Time - Frequency Analysis Techniques Applied to Automotive Noise and Vibration Signals


    Additional title:

    Sae Technical Papers



    Conference:

    2008 SAE Brasil Congress and Exhibit ; 2008



    Publication date :

    2008-10-07




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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