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Applying process monitoring with multivariate analysis through a knowledge-based systems approach to a paperboard machine
Iggesunds Bruk AB.
Dragon Mining AB.
Linköping University, The Institute of Technology. Linköping University, Department of Physics, Chemistry and Biology, Biotechnology .
2005 (English)In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 56, no 5, 472-478 p.Article in journal (Refereed) Published
Abstract [en]

The utility of multivariate statistical process control (MSPC) in the process industry can be further improved by applying knowledge-based systems (KBS) principles. First, the extensive volumes of process data generated in a production process can be pre-assessed by the KBS according to set rules. Second, the KBS can make a selection between various MSPC model alternatives. Third, the KBS may support the plant operators when evaluating the MSPC output results. This is shown in this preliminary study where a KBS was applied to an existing MSPC application on a paperboard machine. It is suggested that these experiences may also successfully be applied with other continuous processes in the manufacturing industry. © 2005 Published by Elsevier B.V.

Place, publisher, year, edition, pages
2005. Vol. 56, no 5, 472-478 p.
Keyword [en]
Multivariate analysis, paperboard machine
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:liu:diva-30371DOI: 10.1016/j.compind.2005.01.009Local ID: 15918OAI: oai:DiVA.org:liu-30371DiVA: diva2:251193
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2017-12-13

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Mandenius, Carl-Fredrik

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