Application of hybrid prediction model to thermal error modeling on NC machine tools

Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University

Volumn 40, Issue 12, 2006, Pages 2030-2033

  Li, Yong Xiang ^a   Yang, Jian Guo ^a   Guo, Qian Jian ^a   Wang, Xiu Shan ^a   Shen, Jin Hua ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Hybrid prediction model; Modeling; NC machine tools; Thermal error

Indexed keywords

ERROR COMPENSATION; HYBRID INTEGRATED CIRCUITS; MACHINE TOOLS; MATHEMATICAL MODELS; SYSTEM THEORY; TIME SERIES ANALYSIS; TURNING;

HYBRID PREDICTION MODEL; MODELING; NC MACHINE TOOLS; REAL TIME COMPENSATION; THERMAL ERROR;

NUMERICAL CONTROL SYSTEMS;

EID: 33846909261     PISSN: 10062467     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. YING Ji, CHEN Zi-chen. Research on thermal deformation control methods of heavy[J]. Mechanical Science and Technology, 1998, 17(4): 623-625.
2. NI Jun. A perspective review of CNC machine accuracy enhancement through real-time error compensation[J]. China Mechanical Engineering, 1997, 8(1): 29-33.
3. YANG S, YUAN J, NI J. Accuracy enhancement of a horizontal machining center by real-time compensation[J]. Journal of Manufacturing Systems, 1996, 15(2): 113-124.
4. YU Jin. Application of compensation fuzzy neural networks in forecasting model of thermal error in machine tools[J]. Aviation Precision Manufacturing Technology, 2004, 40(5): 37-39.
5. PAN Ya-lin, ZHENG Shu-xiang. Improvement for the precision of instruments by a grey system model based on gray system model[J]. Cryogenics and Superconductivity, 2002, 30(1): 65-67.
6. QI Si-hua, FEI Ye-tai, XU Zhen-ying. Study on the trend predictive of dynamic loss of manufacturing accuracy[J]. Transactions of the Chinese Society of Agricultural Machinery, 2002, 33(6): 92-95.
7. YANG Zheng-min, ZHANG Cheng-bao. Application of time series analysis in fault diagnosis of auto gearbox[J]. Transactions of the Chinese Society of Agricultural Machinery, 2000, 31(3): 92-95.
8. HU Qiao, HE Zheng-jia, ZI Yan-yang. New intelligent hybrid prediction model for condition trend of electromechanical equipment[J]. Journal of Mechanical Strength, 2005, 27(4): 425-531.
9. MA Xin, HOU Zhi-jian, JIANG Chuan-wen, et al. Electricity foreward price forecasting based on combined gray neural network model[J]. Journal of Shanghai Jiaotong University, 2003, 37(9): 1329-1332.
10. Maqalhaes M H, Ballini R, Molck P, et al. Combining forecasts for nature streamflow prediction[C]//2004-Annual Conference and Meeting of the North American Fuzzy Information Processing Society. Alta, Canada: Institute of Electrical and Electronics Engineers Inc, 2004: 1329-1332.
11. ZHANG Lin-na. Research on machining error and forecasting model[J]. Acta Metrologica Sinica, 1998, 19(3): 183-188.