An Online Modeling Method for Real-Time Thermal Error Compensation on High-Speed Machines Based on RBF Neural Network Theory

Abstract:

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This paper studies the modeling method based on RBF (Radial-Basis Function) neural network according to its learning ability, and a new neural network online model has been set up. The comparison and analysis result of the case studies shows that, when changing the working condition, the compensation effect of online modeling method is better than offline modeling method and the online model can better reflect the thermal characteristics of High-speed machine tool.

Info:

Periodical:

Edited by:

Bo Zhao, Guanglin Wang, Wei Ma, Zhibo Yang and Yanyan Yan

Pages:

606-611

DOI:

10.4028/www.scientific.net/KEM.455.606

Citation:

H. T. Zhang et al., "An Online Modeling Method for Real-Time Thermal Error Compensation on High-Speed Machines Based on RBF Neural Network Theory", Key Engineering Materials, Vol. 455, pp. 606-611, 2011

Online since:

December 2010

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Price:

$35.00

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