Application of multi-way principal components analysis to nuclear waste storage tank monitoring

被引：51

作者：

Gallagher, NB ^{[1
]}

Wise, BM ^{[1
]}

Stewart, CW ^{[1
]}

机构：

[1] PACIFIC NW LAB, RICHLAND, WA 99352 USA

来源：

COMPUTERS & CHEMICAL ENGINEERING | 1996年 / 20卷 / Suppl pt A期

关键词：

Chemical operations - Mathematical models - Mixing - Monitoring - Perturbation techniques - Statistical methods;

D O I：

10.1016/0098-1354(96)00131-7

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Multivariate statistical process control (MSPC) techniques for batch processes have been extended to monitoring a semi-batch process by focussing on periodic process set point changes. This procedure can be extended to continuous processes that have repeated upsets or perturbations. The MSPC technique was demonstrated for a nuclear waste storage tank that undergoes periodic agitation from a mixing pump. The procedure described here used multi-way principal components analysis to develop a statistical model of the process based on historical data. The model can be used to determine if changes have occurred in the system. At present this procedure is used off-line for monitoring but it could be implemented on-line.

引用

页码：S739 / S744

页数：6

共 10 条

[1]

BABAD H, 1992, WHCSA1364FP

[2]

GALLAGHER NB, 1995, UNPUB ESTIMATE BUBBL

[3] CONTROL PROCEDURES FOR RESIDUALS ASSOCIATED WITH PRINCIPAL COMPONENT ANALYSIS [J].