刀具状态监测的模糊集方法
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金,国防预研基金资助项目


A method of Fuzzy Set for Tool Condition Monitoring
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    刀具状态监测技术一直是制约加工系统自动化和智能化水平提高的主要因素,本文采用模糊线性方程描述刀具状态与监测指标之间的关系,根据学习样本的可能分布和概率分布确定方程的参数,选用不同传感器信号特征组合进行对比实验,结果表明该方法可获得较高的识别率。

    Abstract:

    In this paper,a new method of tool condition monitoring in milling by fuzzy set theory has been studied,the relationship between the tool conditions and monitoring indices (features) is described by a linear fuzzy equation,the parameters of this equation are determined in accordance with the possibility and the probability distributions of the learning samples. In order to verify its effectiveness,the controlled experiments of tool condition monitoring in milling has been made. the results show that it is effective to tool condition monitoring.

    参考文献
    相似文献
    引证文献
引用本文

吴学忠,李圣怡,范大鹏.刀具状态监测的模糊集方法. A method of Fuzzy Set for Tool Condition Monitoring[J].国防科技大学学报,1998,20(1):32-35.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:1997-08-03
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2014-01-03
  • 出版日期:
文章二维码