Processing of Non-Stationary Vibrations Using the Affine Wigner Distribution
This paper deals with the processing of non-stationary signals applied to rotating-machines condition monitoring. The advantages of applying the affine Wigner distribution is explored. First a brief synthesis of this technique and other related time-frequency distributions is given to exhibit their advantages, in particular when faults to diagnose are characterized by complex changes in spectrum or by weak non-stationarities in the vibration signal. Testing on synthesized and real signals shows it as a promising tool when compared to the Wavelet transform or smoothed pseudo Wigner-Ville distribution.
KeywordsAttenuation Covariance Radar Expense Convolution
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