039 - Multivariable frequency-domain system identification algorithms for experimental and operational modal analysis
Guillaume P., De Troyer T., De Sitter G., Devriendt C.
Abstract
In this contribution state-of-the-art frequency-domain modal parameter estimators will be presented. In experimental modal analysis (EMA), mechanical systems with a few inputs and hundreds of outputs have to be identified. This requires adapted frequency-domain estimators designed to handle large amount of data in a reasonable amount of time. Attention will be paid to operational modal analysis, which is a complementary technique to traditional experimental modal analysis. In operational modal analysis unknown operational forces are present. It will be shown how the modal parameters can be estimated from output-only (OMA) as well as input/output (OMAX) measurements done at operating conditions.
Citation
Guillaume P.; De Troyer T.; De Sitter G.; Devriendt C.: Multivariable frequency-domain system identification algorithms for experimental and operational modal analysis, CD-ROM Proceedings of the Thirtheenth International Congress on Sound and Vibration (ICSV13), July 2-6, 2006, Vienna, Austria, Eds.: Eberhardsteiner, J.; Mang, H.A.; Waubke, H., Publisher: Vienna University of Technology, Austria, ISBN: 3-9501554-5-7
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