东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2007, Vol. 28 ›› Issue (5): 708-711.DOI: -

• 论著 • 上一篇    下一篇

应用MCEWMA控制图监视刀具磨损过程

崔敬巍;谢里阳;刘晓霞;   

  1. 东北大学机械工程与自动化学院;东北大学机械工程与自动化学院;东北大学机械工程与自动化学院 辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2007-05-15 发布日期:2013-06-24
  • 通讯作者: Cui, J.-W.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(50275025)

Application of MCEWMA control chart in tool wear monitoring process

Cui, Jing-Wei (1); Xie, Li-Yang (1); Liu, Xiao-Xia (1)   

  1. (1) School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2007-05-15 Published:2013-06-24
  • Contact: Cui, J.-W.
  • About author:-
  • Supported by:
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摘要： 为了有效地利用控制图技术,用指数加权滑动平均方法,对由于刀具磨损导致轴尺寸精度呈线性趋势变化进行预测,提出了应用MCEWMA控制图监视刀具磨损过程.在刀具使用期内,将刀具磨损及由刀具磨损带来的随机波动视为共同原因,对生产过程进行监视,避免了使用传统控制图时,产生频繁报警的弊端.最后,运用具体例子,说明控制图参数选择准则.

关键词: 刀具磨损, 统计质量控制, 控制图, 预测, 指数加权滑动平均

Abstract: To utilize a control chart effectively, the exponentially weighted moving average (EWMA) method is introduced in to forecast the linear variation of shaft diameter resulting from tool wear. Based on EWMA, the MCEWMA control chart is proposed to monitor tool wear process, i.e., the moving center-line EWMA. In the whole service life of a tool used in machining process, the tool wear and relevant random fluctuation are both regarded as the common causes in tool wear monitoring process, thus avoiding the frequent false alarm when using conventional control chart. An example is given to illustrate the criterion for selecting chart parameters.

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