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Vibration-based structural damage identification using wavelet transform

Baissa, Wirtu; Haritos, Nicholas and Thelandersson, Sven LU (2008) In Mechanical Systems and Signal Processing 22(5). p.1194-1215
Abstract
This paper presents a new damage identification technique based on the statistical moments of the energy density function of the vibration responses in the time-scale (or time-frequency) domain. The continuous wavelet transform is first conducted to decompose the vibration responses into discrete energy distributions as a joint function of time and scale. The principal structural response features are then extracted from the energy density functions using moments. Consequently, the zeroth-order moment (ZOM) known as the total energy of the joint density function is computed at each measurement grid point for the pre-damage and post-damage states and is then implemented for detection and localization of damage in a concrete plate model and... (More)
This paper presents a new damage identification technique based on the statistical moments of the energy density function of the vibration responses in the time-scale (or time-frequency) domain. The continuous wavelet transform is first conducted to decompose the vibration responses into discrete energy distributions as a joint function of time and scale. The principal structural response features are then extracted from the energy density functions using moments. Consequently, the zeroth-order moment (ZOM) known as the total energy of the joint density function is computed at each measurement grid point for the pre-damage and post-damage states and is then implemented for detection and localization of damage in a concrete plate model and in a steel plate girder of a bridge structure. The significant contribution is that the wavelet coefficients are transformed into a new damage identification parameter in the space domain which is considered to be a novel application of the wavelet analysis coefficients. The major advantage is that the time-frequency analysis conducted using the wavelet transform provides a powerful tool to characterize deterministic as well as random (stationary and non-stationary) responses and can be used to detect slight changes in the response characteristics and local variations. Finally, comparison of the results obtained from the proposed method and those obtained from existing non-model-based damage identification techniques shows that the proposed method is more sensitive to damage than these other methods. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Statistical moments, Damage localization, Wavelet transform, Plate, Bridge
in
Mechanical Systems and Signal Processing
volume
22
issue
5
pages
1194 - 1215
publisher
Elsevier
external identifiers
  • wos:000255591400013
  • scopus:41649120992
ISSN
1096-1216
DOI
10.1016/j.ymssp.2007.11.001
language
English
LU publication?
yes
id
0eae84b4-8812-4f4e-9e66-f8a7c482d641 (old id 943751)
date added to LUP
2008-06-10 17:16:50
date last changed
2017-10-22 03:54:40
@article{0eae84b4-8812-4f4e-9e66-f8a7c482d641,
  abstract     = {This paper presents a new damage identification technique based on the statistical moments of the energy density function of the vibration responses in the time-scale (or time-frequency) domain. The continuous wavelet transform is first conducted to decompose the vibration responses into discrete energy distributions as a joint function of time and scale. The principal structural response features are then extracted from the energy density functions using moments. Consequently, the zeroth-order moment (ZOM) known as the total energy of the joint density function is computed at each measurement grid point for the pre-damage and post-damage states and is then implemented for detection and localization of damage in a concrete plate model and in a steel plate girder of a bridge structure. The significant contribution is that the wavelet coefficients are transformed into a new damage identification parameter in the space domain which is considered to be a novel application of the wavelet analysis coefficients. The major advantage is that the time-frequency analysis conducted using the wavelet transform provides a powerful tool to characterize deterministic as well as random (stationary and non-stationary) responses and can be used to detect slight changes in the response characteristics and local variations. Finally, comparison of the results obtained from the proposed method and those obtained from existing non-model-based damage identification techniques shows that the proposed method is more sensitive to damage than these other methods.},
  author       = {Baissa, Wirtu and Haritos, Nicholas and Thelandersson, Sven},
  issn         = {1096-1216},
  keyword      = {Statistical moments,Damage localization,Wavelet transform,Plate,Bridge},
  language     = {eng},
  number       = {5},
  pages        = {1194--1215},
  publisher    = {Elsevier},
  series       = {Mechanical Systems and Signal Processing},
  title        = {Vibration-based structural damage identification using wavelet transform},
  url          = {http://dx.doi.org/10.1016/j.ymssp.2007.11.001},
  volume       = {22},
  year         = {2008},
}