Shock and Vibration

Shock and Vibration / 1996 / Article

Open Access

Volume 3 |Article ID 395375 | https://doi.org/10.3233/SAV-1996-3206

José Roberto de França Arruda, Sérgio Augusto Vianna do Rio, Luiz Antonio Silva Bernardes Santos, "A Space-Frequency Data Compression Method for Spatially Dense Laser Doppler Vibrometer Measurements", Shock and Vibration, vol. 3, Article ID 395375, 7 pages, 1996. https://doi.org/10.3233/SAV-1996-3206

A Space-Frequency Data Compression Method for Spatially Dense Laser Doppler Vibrometer Measurements

Received25 Mar 1995
Accepted24 Oct 1995

Abstract

When spatially dense mobility shapes are measured with scanning laser Doppler vibrometers, it is often impractical to use phase-separation modal parameter estimation methods due to the excessive number of highly coupled modes and to the prohibitive computational cost of processing huge amounts of data. To deal with this problem, a data compression method using Chebychev polynomial approximation in the frequency domain and two-dimensional discrete Fourier series approximation in the spatial domain, is proposed in this article. The proposed space-frequency regressive approach was implemented and verified using a numerical simulation of a free-free-free-free suspended rectangular aluminum plate. To make the simulation more realistic, the mobility shapes were synthesized by modal superposition using mode shapes obtained experimentally with a scanning laser Doppler vibrometer. A reduced and smoothed model, which takes advantage of the sinusoidal spatial pattern of structural mobility shapes and the polynomial frequency-domain pattern of the mobility shapes, is obtained. From the reduced model, smoothed curves with any desired frequency and spatial resolution can he produced whenever necessary. The procedure can he used either to generate nonmodal models or to compress the measured data prior to modal parameter extraction.

Copyright © 1996 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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