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Using factorial des...
Using factorial design and multivariate analysis when experimenting in a continuous process
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- Vanhatalo, Erik (författare)
- Luleå tekniska universitet,Industriell Ekonomi
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- Vännman, Kerstin (författare)
- Luleå tekniska universitet,Matematiska vetenskaper
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(creator_code:org_t)
- Wiley, 2008
- 2008
- Engelska.
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Ingår i: Quality and Reliability Engineering International. - : Wiley. - 0748-8017 .- 1099-1638. ; 24:8, s. 983-995
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This article discusses the design and analysis of an experiment performed in a continuous process (CP). Three types of iron ore pellets are tested on two levels of a process variable in an experimental blast furnace process, using a full factorial design with replicates. A multivariate approach to the analysis of the experiment in the form of principal component analysis combined with analysis of variance is proposed. The analysis method also considers the split-plot-like structure of the experiment. The article exemplifies how a factorial design combined with multivariate analysis can be used to perform product development experiments in a CP. CPs also demand special considerations when planning, performing and analyzing experiments. The article highlights and discusses such issues and considerations, for example, the dynamic characteristic of CPs, a strategy to handle disturbances during experimentation and the need for process control during experimentation.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Tillförlitlighets- och kvalitetsteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Reliability and Maintenance (hsv//eng)
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Nyckelord
- Kvalitetsteknik
- Quality Technology and Management
- Mathematical Statistics with special emphasis on Industrial Statistic
- Matematisk statistik inriktning industriell statistik
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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