DocumentCode
2657957
Title
On vibration signals analysis in Bridge Healthy Monitoring system using wavelet transform
Author
Chongchong, Yu ; Jia, Zhang ; Shuo, Jia ; Yang, Yang ; Xuyan, Tu
Author_Institution
Sch. of Inf. Eng., Beijing Technol. & Bus. Univ., Beijing
fYear
2008
fDate
16-18 July 2008
Firstpage
209
Lastpage
213
Abstract
The vibration signal is very important to the bridge healthy monitoring, because the variation of bridge vibration frequency indicates the changing of bridge structure state. Wavelet analysis theory is applied in this paper and study to analyses the monitoring data of bridge vibration signals in the bridge health monitoring system, and through multi-scale decomposition and reconstruction, as well as wavelet denoising, to enable classification and feature extraction from the vibration signals. And meantime through comparing with fast Fourier transform (FFT), it has demonstrated the validity of taking wavelet analysis as an instrument to analyses the vibration signal of bridge structure health monitoring.
Keywords
bridges (structures); condition monitoring; feature extraction; signal classification; signal denoising; signal reconstruction; vibrations; wavelet transforms; bridge healthy monitoring; bridge structure state; bridge vibration frequency; feature extraction; multiscale decomposition; multiscale reconstruction; signal classification; vibration signal; wavelet analysis theory; wavelet denoising; wavelet transform; Bridges; Data analysis; Fast Fourier transforms; Feature extraction; Frequency; Monitoring; Noise reduction; Signal analysis; Wavelet analysis; Wavelet transforms; Bridge healthy monitoring; Denoising; Multi-scale wavelet analysis; Vibration signal;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4605029
Filename
4605029
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