文献类型：会议论文

中文题名：The Application of GA-BP Algorithm in Prediction of Tool Wear State

作者：Tang Jun;Li Wenxing;Zhao Bo;

第一作者：唐军

机构：[1]Department of mechanical and electrical engineering,Xinxiang University;[2]School of Mechanical and Power Engineering,Henan Polytechnic University;

第一机构：新乡学院机电工程学院

会议论文集：Proceedings of 2017 5th International Conference on Mechanical, Automotive and Materials Engineering（CMAME 2017）

会议日期：2017-08-01

会议地点：中国广东广州

主办单位：IEEE Beijing Section、South Asia Institute of Science and Engineering

语种：英文

中文关键词：component;Genetic algorithm;BP neural network;Monitoring Current;Tool wear

摘要：In CNC shaping milling machine,the prediction of the state of tool wear has important application significance to improve productivity,reduce scrap rate and avoid security risks.In this paper,the dete