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Spectral and modal parameter estimation from output-only measurements

✍ Scribed by M.J. Desforges; J.E. Cooper; J.R. Wright

Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
778 KB
Volume
9
Category
Article
ISSN
0888-3270

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✦ Synopsis

A number of approaches that estimate spectra, natural frequencies and dampings from the response to an unknown random input-the autocorrelation, random decrement, maximum entropy and two-stage least squares methods-were compared with traditional frequency response function estimates using both a Monte Carlo simulation and real data. It was found that the Autocorrelation method combined with the Correlation Fit is, arguably, the best method to use if sufficient data are available. All of the methods gave less accurate estimates if the assumption of a 'white' random input was invalid.

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