DATA-COMPRESSION FOR THE MODAL-ANALYSIS OF SPATIALLY DENSE LASER-DOPPLER VIBROMETER MEASUREMENTS

This paper investigates a method which can be used to compress two-dim ensional mobility shapes measured with scanning laser Doppler vibromet ers. It is shown that the compressed data can be used as virtual measu rements when estimating modal parameters. The data are compressed spat ially using a two-dimensional Fourier series model. The approximation reduces and filters the measured data in the output space for each fre quency line. A Chebycheff polynomial modal parameter estimation method is used to extract tile modal parameters. The proposed method makes p hase-separation modal analysis viable when using spatially dense mobil ity shapes.