Publication
Title
A robust singular value decomposition for damage detection under changing operating conditions and structural uncertainties
Author
Abstract
A technique is proposed to detect damage in structures from measurements taken under different conditions (i.e. different operational excitation levels, geometrical uncertainties and surface treatments of the structure). The method is based on a robust singular value decomposition (RSVD) which will be introduced in this article. Using the RSVD the distance of an observation to the subspace spanned by the intact measurements can be computed. Furthermore, from statistics, a threshold can be determined to automatically decide, based on the observation's distance to the subspace, if the observation comes from a damaged or intact sample. The proposed RSVD method is compared with an existing method based on the classical least-squares (LS) SVD. The damage detection method is validated on an aluminium beam with different damage scenarios (a saw cut and a fatigue crack), under several conditions (different beams with small dimensional changes, beams covered with damping material and different operating levels). (c) 2004 Elsevier 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 : 2005
ISSN
0022-460X
Volume/pages
284:3-5(2005), p. 1033-1050
ISI
000229400600026
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Publication type
Subject
External links
Web of Science
Record
Identification
Creation 04.11.2014
Last edited 18.07.2017