MACHINE IDENTIFICATION OF WAVEFORM CHARACTERISTICS, WITH APPLICATION TO SEAT MOTION
AbstractThe purpose of this paper is to propose a method for distinguishing randomly occurring impulses and other intermittent or transient waveforms from a background of near-sinusoidal or Gaussian random signals, all with zero mean value. It involves computation of the higher-order root mean values and impulsiveness of the waveform, represented by a time series, and a measure of the tonal quality of its frequency spectrum. The procedure relies on establishing the statistics of the time series and is related to some techniques for signal detection, for which purpose frequency domain and autocorrelation methods may be preferred for periodic impulses. The method has been used to establish the character of vibrations recorded at the seats of off-the-road vehicles, to provide information concerning potential health effects.
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