Research on Long-span Bridge Health Monitoring Data Pre-processing Based on Wavelet Analysis
Duan Yu-fen · Highway Engineering · 2012
How to select wavelet basis functions reasonably is still a difficult in the application of wavelet analysis in bridge health monitoring system.To address this issue this paper takes a simulated periodic signal as an example.It this example we examine seven kinds of wavelet functions,including Haar,Db,Sym,Coif,Bior,Rbio,Dmey,which are used widely in other research areas.Because the de-noising effect of Bb8 is the most significant,it is selected as the wavelet function.This method is applied to the established Jiangyin Bridge Health Monitoring System.Using wavelet analysis method to calculate and de-noising the vertical data from GPS on the top of the tower,which has a clear periodic.And comparing the results with ones from low-pass filter de-noising.The results show that because the wavelet method uses a more detailed approach,the de-noising effect of the wavelet analysis method is better than the low-pass filter method.