Error compensation technology based on neural networks for precision abrasive machining

被引：0

作者：

Guo, Q. J. ^{[1
]}

Yang, J. G. ^{[1
]}

Wang, X. S. ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Shanghai, Peoples R China

来源：

CURRENT DEVELOPMENT IN ABRASIVE TECHNOLOGY, PROCEEDINGS | 2006年

关键词：

error compensation; neural networks; abrasive machining; information fusion;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Through synthetic analysis of error information during abrasive machining, making use of basal method of artificial neural networks, this paper built an error compensation model of precision abrasive machining based on neural networks theory, and expatiated its structure and algorithm. Finally, hardware system's implementation method for real-time error compensation was given, which improved the grinding machine's compensation ability by reasonable selection sample and systemically study.

引用

页码：271 / +

页数：2

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