WAVELET DENOISING AND CHAOS PREDICTION OF
BRIDGE DEFORMATION DATA
1) College of Geomatics of SUST, Qingdao 266590
2)College of Mechanical and Electronic Engineering, Shandong University of SUST, Qingdao 266590
3)College of Resources and Environmental Engineering of SUST, Qingdao 266590
4) Surveying and Mapping Institute of Chongqing, Chongqing 400042
Abstract：Due to external factors such as waves, hurricanes and ship collision, crosssea bridge deformation shows the dynamic nonlinear state, there is also a chaotic phenomenon. Therefore, db10 wavelet threshold denoising and soft law are used to break down and eliminate the gross errors in the data distortion and noise. Phase space is reconstructed by the smooth deformation of the timeseries after wavelet pretreatment, the bridge chaos state is determined by Lyapunov indices, and chaotic time series prediction and exponential smoothing forecast are analyzed and compared, it is proved that chaos prediction has reliable and high precision.
