DocumentCode
2455847
Title
Wavelet Based Structure Damage Detection
Author
Medda, Alessio ; DeBrunner, Victor ; Mish, Kyran
Author_Institution
Dept. of Electr. & Comput. Eng., Florida State Univ., Tallahassee, FL
fYear
2006
fDate
Oct. 29 2006-Nov. 1 2006
Firstpage
574
Lastpage
578
Abstract
In structural health monitoring (SHM), the Fourier transform (FT) is a classical tool for spectrum estimation. Because of the low sensitivity of the FT to local structural damages, the wavelet packet transform (WPT) is used. The WPT describes the signal in a localized time (or space) and frequency (or scale) domain and a level-by-level decomposition of the signal is obtained. Then, the energy distribution of the signals at the bottom of the WPT decomposition tree can be used to identify changes in energy between frequency bands, a behavior that can be associated with damage in the structure. The validation of this theory is obtained with a finite element model (FEM) of a simply supported beam implemented in Matlabreg.
Keywords
beams (structures); condition monitoring; finite element analysis; flaw detection; time-frequency analysis; wavelet transforms; Matlab; SHM; WPT decomposition tree; energy distribution; finite element model; level-by-level signal decomposition; simply supported beam; spectrum estimation; structural health monitoring; structure damage detection; time-frequency domain; wavelet packet transform; Computer languages; Finite element methods; Fourier transforms; Frequency; Mathematical model; Monitoring; Signal processing; Spectral analysis; Wavelet packets; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
1-4244-0784-2
Electronic_ISBN
1058-6393
Type
conf
DOI
10.1109/ACSSC.2006.354813
Filename
4176623
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