A method to determine transition time for experiments in dynamic processes
2011 (English)In: Quality Engineering, ISSN 0898-2112, E-ISSN 1532-4222, Vol. 23, no 1, 30-45 p.Article in journal (Refereed) Published
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.
blast furnace, design of experiments, intervention analysis, principal component analysis, time series analysis, transfer function–noise model, transition time
Probability Theory and Statistics
IdentifiersURN: urn:nbn:se:umu:diva-47857DOI: 10.1080/08982112.2010.495099OAI: oai:DiVA.org:umu-47857DiVA: diva2:445016