磨削温度在线监测与预报系统的建模研究

Modeling of Real-time Monitoring and Forecasting System about Grinding Temperature

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 。

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.