Robust modelling and prediction of thermally induced positional error based on grey rough set theory and neural networks

International Journal of Advanced Manufacturing Technology

Volumn 83, Issue 5-8, 2016, Pages 753-764

  Cheng, Qiang ^a,b   Qi, Zhuo ^a   Zhang, Guojun ^c   Zhao, Yongsheng ^a   Sun, Bingwei ^a   Gu, Peihua ^d  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

^b CENTRAL SOUTH UNIVERSITY   (China)

^c HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^d SHANTOU UNIVERSITY   (China)

Author keywords

Grey rough set theory; Multi axis machine tool; Neural network; Thermally induced positional error

Indexed keywords

BACKPROPAGATION; COUPLINGS; ERROR COMPENSATION; ERRORS; FORECASTING; MACHINE TOOLS; MACHINING; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SET THEORY; TEMPERATURE MEASUREMENT;

BACK PROPAGATION NEURAL NETWORKS; MACHINE TOOL OPERATION; MODELLING AND PREDICTIONS; MULTI-AXIS MACHINE TOOL; POSITIONAL ERROR MODELING; POSITIONAL ERRORS; RADIAL BASIS FUNCTION(RBF); REAL-TIME COMPENSATIONS;

ROUGH SET THEORY;

EID: 84959112399     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-015-7556-6     Document Type: Article

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