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基于Rough集数据挖掘模型的钻头磨损状态预报系统
引用本文:刘国光. 基于Rough集数据挖掘模型的钻头磨损状态预报系统[J]. 现代制造工程, 2002, 0(11): 22-24
作者姓名:刘国光
作者单位:湖北黄石高等专科学校,435003
摘    要:利用Rough集数据挖掘模型分析主电机电流、钻头直径、切削参数等因素与钻头磨损的规律 ,建立通过监测主电机电流信号对钻头磨损状态进行预报的监测系统

关 键 词:Rough集  数据挖掘  钻头  状态监测
文章编号:1671-3133(2002)11-0022-03
修稿时间:2002-08-28

A forecasting system for wear of drill based on Rough set
Liu Guoguang. A forecasting system for wear of drill based on Rough set[J]. Modern Manufacturing Engineering, 2002, 0(11): 22-24
Authors:Liu Guoguang
Affiliation:Liu Guoguang
Abstract:By a data mining model based on Rough set the rules of wear of drill and electric current of main motor and diameter of drill and cutting parameter are studied in this paper.The forecasting system for wear of drill through monitoring electric current of main motor is established.
Keywords:Rough set Data mining model Drill Monitoring of state  
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