Comparison research of processing methods for vibration signals of cable stayed section on Wuhan Tianxingzhou bridge

Author

Yuewen, Han ; Sheng, Li ; Yan, Yang

Author_Institution

Fiber Opt. Sensing Technol. Res. Center, Wuhan Univ. of Technol., Wuhan, China

fYear

2011

fDate

12-16 Oct. 2011

Firstpage

223

Lastpage

227

Abstract

A typical application of FBG (Fiber Bragg Grating) sensors system is realized on the bridge, and vibration signal of points on the bridge is acquired by them, and data is processed by wavelet analysis method, EMD (Experience Mode Decomposing) method, and EEMD (Ensemble Empirical Mode Decomposition) method to lower its noise component of the original signal and show its own dynamic characters. Power spectrum, SNR and curve diagram show that EEMD is best among them for signal denoising. Not only stationary character of the signal is kept, but also it has the highest SNR.

Keywords

Bragg gratings; bridges (structures); fibre optic sensors; optical noise; signal denoising; vibrations; wavelet transforms; Wuhan Tianxingzhou bridge; cable stayed section; curve diagram; ensemble empirical mode decomposition method; experience mode decomposion method; fiber Bragg grating; fiber sensors; power spectrum; signal denoising; signal-to-noise ratio; vibration signal processing; wavelet analysis method; Bridges; Monitoring; Noise reduction; Signal to noise ratio; Vibrations; Wavelet transforms; EEMD; EMD; FBG sensor; bridge; wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Optoelectronics and Microelectronics Technology (AISOMT), 2011 Academic International Symposium on

Conference_Location

Harbin

Print_ISBN

978-1-4577-0794-0

Type

conf

DOI

10.1109/AISMOT.2011.6159359

Filename

6159359