上海交通大学学报

上海交通大学学报（自然版）

• 自动化技术、计算机技术 • 上一篇    

多工序过程自相关数据的统计监测

万松，李艳婷，于福成
  

  1. (上海交通大学 机械与动力工程学院， 上海 200240)
  • 收稿日期:2010-01-22 修回日期:1900-01-01 出版日期:2010-09-28 发布日期:2010-09-28

Statistical Process Monitoring of Autocorrelation Data from Multistage Processes

WAN Song，LI Yanting，YU Fucheng
  

  1. (School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2010-01-22 Revised:1900-01-01 Online:2010-09-28 Published:2010-09-28

摘要： 结合状态空间模型和统计过程控制方法，建立了多工序生产过程中的自相关数据控制图，给出了平均运行长度的计算公式，并采用Matlab软件模拟实际生产过程所产生的自相关数据.同时，通过生产实例，演示了此方法的应用步骤.结果表明，所建立的自相关数据控制图在受控状态下的报警率很低，而在失控状态下的报警率较高.

关键词: 统计过程控制, 多工序过程, 自相关, 平均运行长度, 控制图

Abstract: An effective multivariate process control charts for autocorrelated data from multistage processes was established, and the formula for calculating its average run length was given by combining statespace models and statistical process control methods. The correctness of the formula was verified by Monte Carlo simulation. Finally, the new method was illustrated with one real example to demonstrate the implementation steps. The results show that in control the chart has low alarm rate, while out of control it has high alarm rate.

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