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《Journal of Wuhan University of Technology》 2007-01
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Application of Grey System Model to Thermal Error Modeling on Machine Tools

LI Yong-xiang,YANG Jian-guo,LI Yu-yao,WU Da-zhong(School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 20003,China)  
Due to the fluctuation and complexity of thermal errors of machine tools affected by various factors,it was difficult to use a single prediction method to accurately describe thermal errors' moving trend.So a new prediction model based on improved grey system was proposed.In this model,the degree of smoothness of the data sequence was improved by function transform,then metabolic method was used to improve the deficiency of traditional GM(1,1),namely metabolic GM(1,1) was capable of dynamic refreshment of input data.This model was applied to the trend prediction of thermal errors in a spot CNC turning center,testing results showed that the prediction performance of metabolic GM(1,1) outperformed any one of traditional GM(1,1) and new information GM(1,1) and metabolic GM(1,1) was most optimal model in thermal error modeling among three GM(1,1) models.
【Fund】: 高等学校全国优秀博士学位论文作者专项资金资助(200131)
【CateGory Index】: TH161.4
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