小波时间序列分析在高铁沉降变形中的应用

The Application of Time Series Analysis Based on the Wavelet in the Deformation of High-speed Rail

采用小波时间序列预测模型,建立基本思想和实现步骤,结合某高铁沉降监测数据,利用db3小波对原始数据进行去噪,在此基础上,建立了AR(2)模型,与运用时间序列方法所求出的预测值,进行比较分析,结果表明,采用小波时间序列预测模型,求出的预测值精度更高,具有很强的实用性。

Focusing on the basic thought and steps to build the wavelet time series prediction model,an AR（2）model,re sulting from the using of db3 wavelet de-noising method first,has been built based on the data of a high-speed rail project.Comparing to the result out of the time series analysis method,it suggests that the method of wavelet time series prediction is well of practically applicability and the forecast accuracy is higher.