基于BP神经网络的盘形成形铣刀的刀具磨损诊断研究  

Research on Tool Wearing Diagnosis of Disk Milling Cutter Based on BP Neural Network

作　　者：陈捷[1] 张成强[1] 

机构地区：[1]南京工业大学工业装备数字制造及控制技术重点实验室,江苏南京210009

出　　处：《制造技术与机床》2010年第12期34-37,共4页Manufacturing Technology & Machine Tool

基　　金：江苏省自然科学基金(BK2008374)

摘　　要：通过电流法监测数控铣齿机的主轴电动机电流,采用BP神经网络方法应用于盘形成形铣刀的刀具磨损诊断,找到BP神经网络的输入特征向量以及对应的目标向量,设计BP神经网络,实现对盘形成形铣刀的刀具磨损诊断。Current method was used to monitor the spindle motor current of CNC milling machine,and BP neural network is used to diagnose the tool wear of disk milling cutter.The spindle current signal was processed in order to find the input vectors and corresponding target vectors about BP neural network,and then the BP neural network was designed to realize the diagnosis of tool wear of disk milling cutter.

关 键 词：BP神经网络 电流法监测 刀具磨损 

分 类 号：TG501.2[金属学及工艺—金属切削加工及机床]