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
Link To Document :
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