On-line monitoring of papermaking processes

被引：5
|
作者：
Yin, KK [1 ]
Yang, HC
Cramer, F
机构：
[1] Univ Minnesota, Dept Wood & Paper Sci, St Paul, MN 55108 USA
[2] Boise Cascade Corp, Int Falls, MN USA
来源：
CHEMICAL ENGINEERING COMMUNICATIONS | 2002年 / 189卷 / 09期
关键词：
papermaking process; multivariate statistical analysis; on-line monitoring; fault detection and diagnosis;
D O I：
10.1080/00986440213883
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
As part of our continuing effort to improve monitoring and control in the pulp and paper industry, this work is concerned with fault detection and diagnosis in the papermaking process. It analyzes on-line data gathered from the real industrial process, investigates the cause/effect relationships, identifies latent variables responsible for paper machine operation and paper quality, and constructs multivariate control charts for more effective supervision and control. Based on multivariate statistical analysis, a new diagnosis method using the directional property of the observation residuals is also developed.
引用
收藏
页码：1242 / 1261
页数：20
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