Application of Combination Model Based on Wavelet Transform in Dam Deformation Analysis
The traditional GM (1,1) model is greatly affected by the original data conditions in deformation prediction,and the predic-tion accuracy is limited. In order to improve the prediction accuracy of GM (1,1) model and better serve the trend judgment of dam deformation,this paper introduces the data denoising method based on the traditional GM (1,1) model,constructs a combined predic-tion model,and applies the combined prediction model to the prediction of actual dam settlement deformation monitoring data. The ex-perimental results show that the denoising results of wavelet Kalman filter denoising method is better than that of individual wavelet de-noising method and individual Kalman filter denoising method. At the same time,the prediction accuracy of the denoised data of wave-let Kalman filter denoising method is higher,which is more suitable for the deformation monitoring of actual engineering projects.
万方数据
维普
