|
|||||
|
|
| 基于机器视觉的刀具状态监测研究进展 | |
| 引用本文： | 王中任,吴艳花,雷俊杰.基于机器视觉的刀具状态监测研究进展[J].工具技术,2007,41(12):99-102. |
| 作者姓名： | 王中任 吴艳花 雷俊杰 |
| 作者单位： | 1. 襄樊学院机械工程系,441053,湖北省襄樊市 2. 襄樊学院 3. 襄樊市机电工程学校 |
| 摘 要： | 介绍了基于机器视觉的刀具磨损监测的三种方法:基于刀具表面图像的视觉监测方法、基于工件表面纹理图像的视觉监测方法和基于切屑图像的视觉监测方法。综述了各种方法的研究进展,比较了各自的优缺点,分析了当前的研究热点和发展趋势。 |
| 关 键 词： | 刀具状态 监测 机器视觉 |
| 收稿时间： | 2007-05 |
| 修稿时间： | 2007年5月1日 |
Review of Tool Condition Monitoring Based on Machine Vision |
|
| Wang Zhongren,Wu Yanhua,Lei Junjie.Review of Tool Condition Monitoring Based on Machine Vision[J].Tool Engineering(The Magazine for Cutting & Measuring Engineering),2007,41(12):99-102. | |
| Authors: | Wang Zhongren Wu Yanhua Lei Junjie |
| Abstract: | Three kinds of tool wear condition monitoring methods based on machine vision are introduced, which are methods basing on the surface pattern of tool, the surface texture of workpiece and the cutting chip. The research development of various approaches are reviewed, their advantages and shortcomings are compared. Finally, research hot issues and development trends of tool wear condition monitoring based on machine vision are analyzed. |
| Keywords: | tool condition monitoring machine vision |
| 本文献已被 维普 万方数据 等数据库收录！ | |
