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Multivariate process monitoring and forcasting by projection methods
Mid Sweden University, Faculty of Science, Technology and Media, Department of Engineering, Physics and Mathematics.
1994 (English)In: Proceedings of the Third IEEE Conference on Control Applications Glasgow, 24-26 aug 1994: Vol. 2, Piscataway: IEEE Control Systems Society , 1994, p. 1345-1346Conference paper, Published paper (Refereed)
Abstract [en]

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

Place, publisher, year, edition, pages
Piscataway: IEEE Control Systems Society , 1994. p. 1345-1346
Keywords [en]
SPC, PCA, PLS
National Category
Control Engineering Computer Sciences Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:miun:diva-2766DOI: 10.1109/CCA.1994.381329Local ID: 2254OAI: oai:DiVA.org:miun-2766DiVA, id: diva2:27798
Available from: 2008-09-30 Created: 2008-09-30 Last updated: 2018-01-12Bibliographically approved

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Fridén, Håkan

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