高技术通讯2013，Vol.23Issue(6)：631-635,5.DOI:10.3772/j.issn.1002-0470.2013.06.013
基于灰色线性回归组合模型的机床热误差建模方法
Thermal error modeling based on the grey-linear regression combination model for machine tools
摘要
Abstract
Considering that some linear and nonlinear factors to thermal error data exist when a machine tool works,this paper proposes a modeling method for prediction of machine tools' thermal errors by using a grey linear regression combination thermal error model.This method has an ability to deal with the linear and nonlinear problems.To obtain predictive values of thermal errors,its residual error is corrected by the BP neural network.The predictive value obtained from a grey model using an exponential function to simulate the data,is compared with the one obtained above,and the result proves the superiority of the grey linear regression combination and the BP neural network model for machine tools' thermal error compensation modeling.关键词
热误差/灰色模型/灰色线性回归组合模型/BP神经网络/卧式加工中心Key words
thermal error/grey model/grey-linear regression combination model/BP neural network/horizontal machining center引用本文复制引用
刘志峰,潘明辉,张爱平,赵永胜,蔡力钢..基于灰色线性回归组合模型的机床热误差建模方法[J].高技术通讯,2013,23(6):631-635,5.基金项目
863计划(SS2012AA040702)和国家科技重大专项(2012ZX04010-011)资助项目. （SS2012AA040702）
