Wavelet analysis on data processing of bridge deformation monitoring
Liu Na · Cehui kexue · 2012
Based on the characteristics of the noise in data during bridge deformation monitoring,the paper chose appropriate wavelet basis and carried out gross error detection and de-noising with the theory of wavelet analysis.It studied the detailed features and mutational point in the data of bridge deformation monitoring under the condition of high frequency coefficient.Besides,it also studied the features of the noise in deformation monitoring data as well as the effect it exerts on the data.After the analysis,it found that the larger noises usually appear at some inflection point of the sinking circle,which would play an important part in guiding safe informational construction of bridges.