铁道科学与工程学报Issue(5)：112-117,6.
基于稳健估计的沉降预测方法
Settle ment prediction based on robust esti mation
摘要
Abstract
Least square method is adopted to improve the fitting process of the original data when using hyperbolic method and Asaoka method to predict the settlement.But after settlement data with gross error,the least square method fitting results are inaccurate in certain cases.Aiming at this problem,this paper introduced robust linear estimation theory to deal with gross error in the data pre-processing.After discussion of gross error,the applica-bility of least square linear fitting and robust linear fitting in the prediction were also discussed respectively.Re-search results show that the influence of gross error plays a minimal role when adopting the robust linear fitting method for data processing,which indicates that this approach can play a very good resistance ability of gross er-ror;when the amount of data is too small to fit,the least squares linear fitting and robust linear effect have no significant difference.关键词
沉降预测/双曲线法/Asaoka法/最小二乘估计/稳健估计Key words
settlement prediction/hyperbola method/Asaoka method/least squares estimation/robust estima-tion分类
交通工程引用本文复制引用
彭仪普,伍绍浩,张莹超..基于稳健估计的沉降预测方法[J].铁道科学与工程学报,2014,(5):112-117,6.基金项目
铁道部科技开发计划资助项目（2008G020-B）；铁道部建设司工程建设规范科研资助项目 （）
