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A method to determine transition time for experiments in dynamic processes
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Mathematical Science.
2011 (English)In: Quality Engineering, ISSN 0898-2112, E-ISSN 1532-4222, Vol. 23, no 1, p. 30-45Article 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, p. 30-45
National Category
Reliability and Maintenance Probability Theory and Statistics
Research subject
Quality Technology and Management; Mathematical Statistics with special emphasis on Industrial Statistic
Identifiers
URN: urn:nbn:se:ltu:diva-4433DOI: 10.1080/08982112.2010.495099Local ID: 26082cb0-d2bf-11de-bae5-000ea68e967bOAI: oai:DiVA.org:ltu-4433DiVA: diva2:977306
Note
Validerad; 2011; 20091116 (bjokva)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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Vanhatalo, ErikKvarnström, BjörnBergquist, BjarneVännman, Kerstin
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