DocumentCode
2510736
Title
Multivariate process monitoring and forecasting by projection methods
Author
Fridén, Håkan ; Wikström, Conny
Author_Institution
Umetri AB, Umea, Sweden
fYear
1994
fDate
24-26 Aug 1994
Firstpage
1345
Abstract
Immense amounts of data are collected into today´s modern process monitoring systems. There are, however, few methods that have the capability to grasp the essentials in these, usually heavily correlated, data. The multivariate statistical techniques, principal components (PC) modelling and modelling by projection to latent structures (PLS) are two methods that have a great potential for process monitoring and forecasting in these situations
Keywords
computerised monitoring; process control; statistical analysis; statistical process control; forecasting; multivariate process monitoring; multivariate statistical techniques; principal components modelling; projection methods; projection to latent structures; Process control; Process monitoring; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 1994., Proceedings of the Third IEEE Conference on
Conference_Location
Glasgow
Print_ISBN
0-7803-1872-2
Type
conf
DOI
10.1109/CCA.1994.381329
Filename
381329
Link To Document