DocumentCode
2087848
Title
Batch multivariate SPC monitoring of a sulfite pulp digester
Author
Champagne, Marc ; Monette, Rhondi
Author_Institution
Tembec Inc., Temiscaming, Que., Canada
Volume
1
fYear
2002
fDate
2002
Firstpage
606
Abstract
This paper discusses how principal component analysis (PCA) is used to develop multivariate statistical process control (SPC) charts for a batch process. Historical data from one sulfite batch digester was used to build a reference model. Multivariate batch SPC models are built using two levels, the observation level and the batch level. The observation level is used to monitor the evolution of new batches, while the batch level is used to classify whether the batch is acceptable or rejected.
Keywords
batch processing (industrial); paper industry; principal component analysis; process monitoring; statistical process control; batch monitoring; batch process; multivariate statistical process control; paper industry; principal component analysis; sulfite pulp digester; Condition monitoring; Control charts; Displays; Principal component analysis; Process control; Production; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2002. Proceedings of the 2002
ISSN
0743-1619
Print_ISBN
0-7803-7298-0
Type
conf
DOI
10.1109/ACC.2002.1024875
Filename
1024875
Link To Document