Title :
Multivariate process monitoring and forecasting by projection methods
Author :
Fridén, Håkan ; Wikström, Conny
Author_Institution :
Umetri AB, Umea, Sweden
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;
Conference_Titel :
Control Applications, 1994., Proceedings of the Third IEEE Conference on
Conference_Location :
Glasgow
Print_ISBN :
0-7803-1872-2
DOI :
10.1109/CCA.1994.381329
