Publication
Title
An automatic frequency domain modal parameter estimation algorithm
Author
Abstract
In this article, a frequency-domain modal parameter estimation method is proposed. The algorithm automatically separates physical poles from mathematical ones. An important issue in the automatization of the algorithm is the inclusion of noise information to estimate the standard deviations of the poles. These standard deviations are used (together with other features) as the inputs of a fuzzy clustering algorithm. The clustering algorithm then classifies the poles into the mathematical and physical ones. The method requires no user interaction, and a parameter is available quantifying the success of the classification. (C) 2002 Elsevier Science Ltd. All rights reserved.
Language
English
Source (journal)
Journal of sound and vibration / University of Southampton. Institute of Sound and Vibration Research. - London
Publication
London : 2003
ISSN
0022-460X
Volume/pages
265:3(2003), p. 647-661
ISI
000184517800009
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Publication type
Subject
External links
Web of Science
Record
Identification
Creation 04.11.2014
Last edited 26.06.2017