Robust modeling method for thermal error of CNC machine tools based on ridge regression algorithm

For thermal error compensation technology of CNC machine tools, the collinearity between temperature sensitive points is the main factor for determining the predicted robustness of thermal error model. The temperature sensitive points are input variables of the thermal error model. This paper studie...

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Veröffentlicht in:	International journal of machine tools & manufacture Jg. 113; S. 35 - 48
Hauptverfasser:	Liu, Hui, Miao, En Ming, Wei, Xin Yuan, Zhuang, Xin Dong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elmsford Elsevier Ltd 01.02.2017 Elsevier BV
Schlagworte:	Algorithms CNC machine tools Collinearity Correlation analysis Correlation coefficients Error analysis Error compensation Error detection Machine tools Mathematical models Modelling Numerical controls Predicted accuracy and robustness Regression Regression analysis Ridge regression Robustness (mathematics) Seasons Temperature Thermal error Three dimensional models Ridge regression Thermal error Collinearity Predicted accuracy and robustness CNC machine tools
ISSN:	0890-6955, 1879-2170
Online-Zugang:	Volltext
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