[1]董涛,李迎,侯丽雅.磨削温度在线监测与预报系统的建模研究[J].南京理工大学学报(自然科学版),2000,(05):398-401.
 DongTao LiYing HouLiya.Modeling of Real-time Monitoring and Forecasting System about Grinding Temperature[J].Journal of Nanjing University of Science and Technology,2000,(05):398-401.
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磨削温度在线监测与预报系统的建模研究()
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2000年05期
页码:
398-401
栏目:
出版日期:
2000-10-30

文章信息/Info

Title:
Modeling of Real-time Monitoring and Forecasting System about Grinding Temperature
作者:
董涛李迎侯丽雅
南京理工大学制造工程学院, 南京210094
Author(s):
DongTao LiYing HouLiya
School of Manufacturing Engineering,NUST,Nanjing 210094
关键词:
磨削 温度监控 建立模型 人工智能 灰色理论
Keywords:
grinding temperature monitoring model building art ificial intellig ence greytheory
摘要:
针对磨削温度的变化特征及其不同的影响因素 ,对人工神经网络预报模型及灰色理论GM (1 ,1 )预报模型应用于磨削温度在线监测与预报中的优缺点进行了分析 ,提出了一种新的ANNGM (1 ,1 )综合预报模型 ,对该模型进行了理论分析和工艺实验研究
Abstract:
Based on the changing characteristics and different factors of the grinding temperature, this paper analyzes advantages and disadvantages of Artificial Neural Network forecasting model and Grey Theory forecasting model GM( 1, 1) in applying to grinding temperature of on-line supervising and forecasting. This paper also propounds a new synthesized forecasting model ANN_GM( 1, 1) and studies this new model through the theory analysis and process experiments.

参考文献/References:

1 陈典正. 磨削加工中在线检测技术的新发展. 磨床与磨削, 1997( 3) : 22~ 24

相似文献/References:

[1]陈明,朱明武,浦学锋.GH4169磨削烧伤机理研究[J].南京理工大学学报(自然科学版),1995,(02):152.
 Chen Ming,Zhu Mingwu.A Study of Workpiece Burn Mechanism During Grinding of Superalloy GH4169[J].Journal of Nanjing University of Science and Technology,1995,(05):152.
[2]陈明,朱明武.声发射在磨削难加工材料中的应用[J].南京理工大学学报(自然科学版),1995,(03):193.
 Chen Ming,Zhu Mingwu.Application of Acoustic Emission Signal in Grinding Difficult- to-machine Materials[J].Journal of Nanjing University of Science and Technology,1995,(05):193.

备注/Memo

备注/Memo:
四开研究基金资助项目
董 涛 男 22 岁 博士生
更新日期/Last Update: 2013-03-25