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A method to determine transition time for experiments in dynamic processes
Quality Technology, Luleå University of Technology, Luleå, Sweden.
Quality Technology, Luleå University of Technology, Luleå, Sweden.
Quality Technology, Luleå University of Technology, Luleå, Sweden.
Umeå University, Faculty of Social Sciences, Department of Statistics.
2011 (English)In: Quality Engineering, ISSN 0898-2112, E-ISSN 1532-4222, Vol. 23, no 1, 30-45 p.Article in journal (Refereed) Published
Abstract [en]

Process dynamics is an important consideration during the planning phase of designed experiments in dynamic processes. After changes of experimental factors, dynamic processes undergo a transition time before reaching a new steady state. To minimize experimental time and reduce costs and for experimental design and analysis, knowledge about this transition time is important. In this article, we propose a method to analyze process dynamics and estimate the transition time by combining principal component analysis and transfer function–noise modeling or intervention analysis. We illustrate the method by estimating transition times for a planned experiment in an experimental blast furnace.

Place, publisher, year, edition, pages
2011. Vol. 23, no 1, 30-45 p.
Keyword [en]
blast furnace, design of experiments, intervention analysis, principal component analysis, time series analysis, transfer function–noise model, transition time
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:umu:diva-47857DOI: 10.1080/08982112.2010.495099OAI: oai:DiVA.org:umu-47857DiVA: diva2:445016
Available from: 2011-09-30 Created: 2011-09-30 Last updated: 2017-12-08Bibliographically approved

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Vännman, Kerstin

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