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Multivariate process monitoring of an experimental blast furnace
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0003-1473-3670
2010 (English)In: Quality and Reliability Engineering International, ISSN 0748-8017, E-ISSN 1099-1638, Vol. 26, no 5, p. 495-508Article in journal (Refereed) Published
Abstract [en]

Process monitoring by use of multivariate projection methods has received increasing attention as it can reduce the monitoring problem for richly instrumented industrial processes with many correlated variables. This article discusses the monitoring and control of a continuously operating experimental blast furnace (EBF). A case study outlines the need for monitoring and control of the EBF and the use of principal components (PCs) to monitor the thermal state of the process. The case study addresses design, testing and online application of PC models for process monitoring. The results show how the monitoring problem can be reduced to following just a few PCs instead of many original variables. The case study highlights the problem of multivariate monitoring of a process with frequently shifting operating modes and process drifts and stresses the choice of a good reference data set of normal process behavior. Possible solutions for adaptations of the multivariate models to process changes are also discussed.

Place, publisher, year, edition, pages
2010. Vol. 26, no 5, p. 495-508
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-6550DOI: 10.1002/qre.1070ISI: 000280914600009Scopus ID: 2-s2.0-77955670181Local ID: 4c80a5c0-3cb9-11df-a0f4-000ea68e967bOAI: oai:DiVA.org:ltu-6550DiVA, id: diva2:979436
Note
Validerad; 2010; 20100331 (eri_van)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Vanhatalo, Erik

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