MACHINE IDENTIFICATION OF WAVEFORM CHARACTERISTICS, WITH APPLICATION TO SEAT MOTION

Authors

  • A.J. Brammer Institute for Microstructural Sciences, National Research Council of Canada, Ottawa, Ontario, K1A 0R6
  • G. Roddan British Columbia Research Corporation, Vancouver, B.C.
  • J. Village British Columbia Research Corporation, Vancouver, B.C.
  • J. Morrison School of Kinesiology, Simon Fraser University, Burnaby, B.C.

Abstract

The 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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Published

1993-12-01

How to Cite

1.
Brammer A, Roddan G, Village J, Morrison J. MACHINE IDENTIFICATION OF WAVEFORM CHARACTERISTICS, WITH APPLICATION TO SEAT MOTION . Canadian Acoustics [Internet]. 1993 Dec. 1 [cited 2021 Dec. 3];21(4):21-2. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/821

Issue

Section

Proceedings of the Acoustics Week in Canada