摘要
在分析研究现有小批量及多元控制图相关理论的基础上,基于Kalman滤波原理,提出一种综合解决小批量多元过程控制的建模方法。仿真实验及应用实例表明,该建模方法能够充分利用已经取得的数据,动态建立控制模型,从而解决小批量生产过程中建模数据不足的问题。
Based on the study of multivariate statistical process quality control chart and small-batch manufacturing process, a kind of synthetical modeling method was put forward to deal with multivariate statistical process for small-batch manufacturing. Practical application and emulational instance show that this modeling method can make the best use of the obtained data, build control model dynamically, consequently resolve the problem of lacking modeling data in small-batch manufacturing process.
出处
《计算机应用》
CSCD
北大核心
2008年第10期2718-2720,共3页
journal of Computer Applications
基金
安徽省科技计划年度重点项目(07021075)
关键词
KALMAN滤波
小批量
多元控制图
统计过程控制
Kalman filter small-batch manufacturing
multivariate statistical control chart
Statistical Process Control（SPC）
