Recent Developments and Industrial Applications of Data-Based Process Monitoring and Process Control

被引：0

作者：

Kano, Manabu ^{[1
]}

Nakagawa, Yoshiaki ^{[2
]}

机构：

[1] Kyoto Univ, Nishikyo Ku, Kyoto 6158510, Japan

[2] Sumitomo Met Ltd, Kitakyushu, Fukuoka 8028686, Japan

来源：

16TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING AND 9TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING | 2006年 / 21卷

关键词：

Statistical Quality Control; Statistical Process Control; Multivariate Analysis; Iron and Steel Process;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Statistical process monitoring and control are now widely accepted in various industries. In recent years, statistical techniques are expected to solve quality-related problems. The issue of how to improve product quality and yield in a brief period of time becomes more critical in many industries where the product life cycle becomes shorter. Examples include steel processes and semiconductor processes. These processes are totally different in appearance, but the problems to solve are highly similar: how to build a reliable model from a limited data, how to analyze the model and optimize operating condition, and how to realize an on-line monitoring and control system and maintain it. In this paper, the problems and solutions are described with our application results in steel facilities.

引用

页码：57 / 62

页数：6

共 6 条

[1]

[Anonymous], J QUALITY TECHNOLOGY

[2] Product design through multivariate statistical analysis of process data [J].