The chaotic Time Series-based Short-term Prediction of Dam Deformation
Hao Chen · Hydropower Automation and Dam Monitoring · 2008
The chaotic time series prediction theory is applied to the dam deformation.According to the nonlinear characteristics of dam deformation time series and the theory of phase space reconstruction,two prediction models of dam deformation are established.The two models are the prediction model of adding-weight one-rank method and the prediction model of Lyapunov exponents.The characteristics of the above models are compared and analyzed as well.The study indicates that the prediction errors are small.Compared with the traditional AR model,the chaotic time series prediction theory has a high accuracy in the dam deformation prediction.