14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper FrSP2.1

Guillaume, Patrick (Vrije Univ. Brussel)

Multivariable Frequency Domain System Identification Algorithms for Modal Analysis

Scheduled for presentation during the Semi-Plenary Session "Semi-Plenary V" (FrSP2), Friday, March 31, 2006, 14:00−15:00, Banquet Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 17, 2018

Keywords Frequency Domain Identification, Multivariable System Identification, Maximum Likelihood Methods


In this contribution the applicability of frequency-domain estimators in the field of modal analysis will be illustrated. 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.