刀具磨损检测技术综述  

Overview of Tool Wear Detection Technology

作　　者：王海泉 郭修远 李辉 赫亚鹏 温盛军 周恩克 WANG Hai-quan;GUO Xiu-yuan;LI Hui;HE Ya-peng;WEN Sheng-jun;ZHOU En-ke(Zhongyuan-Petersburg Aviation College,Zhongyuan University of Technology,Zhengzhou 451100 China;School of Electronic and Information Engineering,Zhongyuan University of Technology,Zhengzhou 451100 China;Luoyang Atsen Precision Technology Co.,Ltd.,Luoyang 471000 China)

机构地区：[1]中原工学院中原彼得堡航空学院,河南郑州451100 [2]中原工学院电子信息学院,河南郑州451100 [3]洛阳阿特森精工科技有限公司,河南洛阳471000

出　　处：《自动化技术与应用》2024年第7期1-6,共6页Techniques of Automation and Applications

基　　金：科技部高端外国专家引进计划项目(G2021026006L);河南省高等学校重点科研项目(22A413011);河南省高校青年骨干教师培养计划项目(2020GGJS137)。

摘　　要：在机械加工过程中,为了提高零部件加工的精度和效率,对刀具磨损状态的检测就显得至关重要。随着计算机和人工智能技术的发展,刀具磨损检测技术从人工判断逐渐过渡到智能化分析。从刀具磨损状态检测的方法、步骤、相关技术等三个方面对刀具磨损检测技术进行了综述,对相关方法进行评价,并对未来刀具磨损检测技术进行展望。During the machining processes,in order to improve the accuracy and efficiency of components and parts processing,the detection of tool wear is very crucial.With the development of computer and artificial intelligence technology,tool wear detection technology has gradually developed from determination by users to intelligent analysis.The tool wear intelligent detection technology is summarizes in this paper from three aspects,the methods,steps and related technologies,the related methods are evaluated and the future of tool wear detection technology is proposed.

关 键 词：刀具磨损 磨损检测 深度学习 机器视觉 信号处理 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置] TG71[自动化与计算机技术—控制科学与工程]