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  5. A Comparative Analysis of Structural Damage Detection Techniques by Wavelet, Kurtosis and Pseudofractal Methods
 
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A Comparative Analysis of Structural Damage Detection Techniques by Wavelet, Kurtosis and Pseudofractal Methods

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Author(s)
Pakrashi, Vikram 
O'Connor, Alan 
Basu, Biswajit 
Uri
http://hdl.handle.net/10197/10803
Date Issued
10 July 2009
Date Available
01T07:40:10Z July 2019
Abstract
The aim of this paper is to compare wavelet, kurtosis and pseudofractal based techniques for structural health monitoring in the presence of measurement noise. A detailed comparison and assessment of these techniques have been carried out in this paper through numerical experiments for the calibration of damage extent of a simply supported beam with an open crack serving as an illustrative example. The numerical experiments are deemed critical due to limited amount of experimental data available in the field of singularity based detection of damage. A continuous detectibility map has been proposed for comparing various techniques qualitatively. Efficiency surfaces have been constructed for wavelet, kurtosis and pseudofractal based calibration of damage extent as a function of damage location and measurement noise level. Levels of noise have been identified for each technique where a sudden drop of calibration efficiency is observed marking the onset of damage masking regime by measurement noise
Type of Material
Journal Article
Publisher
Korea Science
Journal
Structural Engineering and Mechanics
Volume
32
Issue
4
Start Page
489
End Page
500
Keywords
  • Wavelet

  • Kurtosis

  • Fractal

  • Structural damage det...

  • Signal to noise ratio...

DOI
10.12989/sem.2009.32.4.489
Language
English
Status of Item
Peer reviewed
ISSN
1225-4568
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Mechanical & Materials Engineering Research Collection
Scopus© citations
3
Acquisition Date
Mar 27, 2023
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Views
739
Acquisition Date
Mar 27, 2023
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Downloads
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Acquisition Date
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