• Optics and Precision Engineering
  • Vol. 21, Issue 4, 980 (2013)
MIAO En-ming*, GONG Ya-yun, CHENG Tian-ju, and CHEN Hai-dong
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3788/ope.20132104.0980 Cite this Article
    MIAO En-ming, GONG Ya-yun, CHENG Tian-ju, CHEN Hai-dong. Application of support vector regression machine to thermal error modelling of machine tools[J]. Optics and Precision Engineering, 2013, 21(4): 980 Copy Citation Text show less
    References

    [1] YANG J G. Present situation and prospect of error compensation technology for NC machine tool [J]. Aeronautical Manufacturing Technology, 2012, (5): 40-45.(in Chinese)

    [2] TANG Q C. Research on thermal error integrated prediction model of machining center [J]. Machine Tool & Hydraulics, 2010, (23): 62-64. (in Chinese)

    [3] ZHANG Y, YAGN J G. Modeling for machine tool thermal error based on grey model preprocessing neural network [J]. Journal of Mechanical Engineering, 2011, 47(7): 134-139. (in Chinese)

    [4] VAPNIK V N.Statistical Learning Theory[M].New York: J. Wiley, 1998.

    [5] CHEN SH Y. The Nonparametric Theory of Support Vector Regression and Classification with Applications to Forecasting for Financial Markets[M].Beijing: Peking University Press, 2007. (in Chinese)

    [6] DENG N Y, TIAN Y J. Support Vector Machines—Theory, Algorithms and Development [M].Beijing: Science Press, 2009, 63-80.

    [7] RAMESH R, MANNAN M A. Thermal error measurement and modeling in machine tools. PartII: Hybrid Bayesian Network—support vector machine model [J]. International Journal of Machine Tools&Manufacture 2000, 40: 1257-1284.

    [8] LIN W Q, FU J ZH, XU Y ZH, et al.. Optimal sensor placement for thermal error identification of NC machine tool based on LS-SVM and genetic algorithm[J].Opt. Precision Eng., 2008, 16(9): 1682-1686. (in Chinese)

    [9] LU J Y, WANG B F, LIANG D K. Identification of impact location by using FBG based on wavelet packet feature extraction and SVR [J]. Opt. Precision Eng., 2012, 20(4): 712-717. (in Chinese)

    [10] LIN SH L, LIU ZH. Parameter selection in SVM with RBF kernel function [J]. Journal of Zhejiang University of Technology, 2007, 35(2): 163-167. (in Chinese)

    [11] DUAN K, KEERTHI S, POO A. Evaluation of simple performance measures for tuning SVM hyperparameters [J].Neurocomputing, 2003, 51: 41- 59.

    [12] MIAO E M, NIU P CH, FEI Y T. Selecting temperature-sensitive points and modeling thermal errors of machine tools [J].Journal of the Chinese Society of Mechanical Engineers, 2011, 32: 559-565.

    CLP Journals

    [1] ZHANG En-zhong, ZHAO Ji, JI Shi-jun, LIN Jie-qiong, LI Gang. Comprehensive error modeling and compensation for optical free-form surface polishing machine tool[J]. Optics and Precision Engineering, 2015, 23(6): 1587

    [2] MIAO En-ming, LIU Yi, DONG Yun-fei, CHEN Wei-kang. Improvement of forecasting robustness of time series model for thermal error on CNC machine tool[J]. Optics and Precision Engineering, 2016, 24(10): 2480

    [3] HE Zhen-ya, FU Jian-zhong, CHEN Zi-chen. Thermal error measurement of spindle for 5-axis CNC machine tool based on ball bar[J]. Optics and Precision Engineering, 2015, 23(5): 1401

    [4] XIE Chun, ZHANG Wei-min. Comprehensive measurement errors of 5-axis turning-milling centers and their compensation strategies[J]. Optics and Precision Engineering, 2014, 22(4): 1004

    [5] ZHANG En-zhong, ZHAO Ji, JI Shi-jun, LI Gang. Comprehensive error modeling and compensation for precision polishing platform based on orthogonal experiment and interpolation algorithm[J]. Optics and Precision Engineering, 2015, 23(12): 3422

    [6] DENG Xiao-lei, LIN Huan, WANG Jian-chen, XIE Chang-xiong, FU Jian-zhong. Review on thermal design of machine tool spindles[J]. Optics and Precision Engineering, 2018, 26(6): 1415

    [7] GUO Chen-guang, HAN Xue, LI Yuan, XIE Hua-long. Thermal error modeling for spindle system of precision CNC lathe[J]. Optics and Precision Engineering, 2016, 24(7): 1731

    [8] MIAO En-ming, XU Zhi-shang, ZHOU Xiao-shuai, LEI De-rong, NI Yang. Simulation of thermal deformation of cylindrical mechanical parts bounded by boundary constraint based on conversion mechanism of thermal into mechanics[J]. Optics and Precision Engineering, 2015, 23(2): 504

    MIAO En-ming, GONG Ya-yun, CHENG Tian-ju, CHEN Hai-dong. Application of support vector regression machine to thermal error modelling of machine tools[J]. Optics and Precision Engineering, 2013, 21(4): 980
    Download Citation