Publication
Title
Frequency response function-based parameter identification from short data sequences
Author
Abstract
In this paper two advanced frequency-domain estimators, the advanced least squares complex frequency estimator and the advanced maximum likelihood estimator will be presented to deal with short and noisy data records for applications in the field of modal analysis. This requires adapted frequency-domain estimators designed to handle large amount of data in a reasonable amount of time. The identification techniques proposed in this paper start from frequency response functions and take into account leakage and transient phenomena. Special attention is paid to reduce the computation time as well as the memory requirements. Finally, the proposed techniques are evaluated using both simulated and experimental data. Both simulations and measurements show that there is an improvement on the accuracy of the estimated models. (C) 2003 Elsevier Ltd. All rights reserved.
Language
English
Source (journal)
Mechanical systems and signal processing. - London
Publication
London : 2004
ISSN
0888-3270
Volume/pages
18:5(2004), p. 1097-1116
ISI
000221995400008
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
[E?say:metaLocaldata.cgzprojectinf]
Publication type
Subject
External links
Web of Science
Record
Identification
Creation 04.11.2014
Last edited 04.11.2017