DocumentCode :
2087748
Title :
Industrial use of multivariate statistical analysis for process monitoring and control
Author :
Champagne, Marc ; Dudzic, P. Michael
Author_Institution :
Tembec Inc., Temiscaming, Que., Canada
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
594
Abstract :
Multivariate statistical analysis has come of age over the last decade. Dofasco, a leading North American provider of Solutions in Steel™ and Tembec, a multinational, integrated forest products company have applied this technology in many industrial applications. The intent of the paper is to give an introduction to the application of on-line multivariate statistical analysis in industrial settings, and its impact on daily operating costs, product quality, throughput, equipment reliability and environmental impact. The paper introduces the reader to the basic concepts of multivariate statistical analysis for both continuous and batch processes. As well, the paper examines the types of problems to which multivariate statistical analysis can be applied in an industrial process, and our experiences in deploying robust, on-line applications.
Keywords :
batch processing (industrial); fault diagnosis; predictive control; process monitoring; statistical analysis; statistical process control; Solutions in Steel; Tembec; batch processes; continuous processes; daily operating costs; environmental impact; equipment reliability; integrated forest products company; multivariate statistical analysis; process control; process monitoring; product quality; throughput; Data analysis; Industrial control; Investments; Monitoring; Predictive models; Principal component analysis; Process control; Statistical analysis; Statistics; Steel;
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.2002.1024870
Filename :
1024870
Link To Document :
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