摘要
以模型筛选法为基础 ,将筛选出的变形误差最小的模型的模型参数作为状态向量 ,用卡尔曼滤波法进行大坝变形分析。实例计算表明 ,这种方法能够提高模型的拟合及预报精度。
On the basis of model screening method, the parameter of the chosen model whose deformation error is the least is taken as the status vector, and the Kalman filter method is used for analysis of dam deformation. Calculation shows that the proposed method can help raise the accuracy of fitting and forecast.
出处
《水电自动化与大坝监测》
2002年第4期55-56,64,共3页
HYDROPOWER AUTOMATION AND DAM MONITORING
关键词
大坝
变形分析
模型筛选法
卡尔曼滤波法
model screening method
status vector
Kalman filter method
deformation analysis
