中国机械工程2011，Vol.22Issue(11)：1269-1273,5.
基于贝叶斯网络的平面磨削状态智能监测技术研究
Research on Intelligent Monitoring Technique of Machining State for Surface Grinder Based on Bayesian Network
摘要
Abstract
In order to solve the problem of predicting workpiece quality and identifying blunt level of wheel in surface grinding, a Bayesian network model for monitoring grinding states of surface grinder was set up. The model can realize predict workpiece quality and identify blunt level of wheel by detecting kurtosis of acoustic emission with known grinding parameters and workpiece material.The results provide reference for NC system to optimize parameters. The technique obtains good effect by experiments on CNC surface grinder.关键词
平面磨削/贝叶斯网络/声发射技术/粗糙度预测Key words
surface grinder/ Bayesian network/ acoustic emission/ prediction of roughness分类
矿业与冶金引用本文复制引用
林峰,焦慧锋,傅建中..基于贝叶斯网络的平面磨削状态智能监测技术研究[J].中国机械工程,2011,22(11):1269-1273,5.基金项目
国家科技重大专项(2009ZX04001-131) （2009ZX04001-131）
