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
Link To Document :
بازگشت