Boonkhao, B, Li, RF, Liu, L et al. (5 more authors) (2014) Making Use of Process Tomography Data for Multivariate Statistical Process Control. In: 6th World Congress in Industrial Process Tomography. 6th World Congress on IPT, 06-09 Sep 2010, Beijing, China. , pp. 488-499. ISBN 9780853163220
Abstract
This paper describes a novel strategy for making effective use of on-line process tomography measurements for process monitoring. The electrical resistance tomography (ERT) sensing system equipped with sixteen electrodes provides 104 conductivity measurements every 25 milliseconds. The data has traditionally been used for construction of images for display purpose. In this study, ERT data was used for multivariate statistical process control (MSPC). Data at pre-defined normal operational conditions was processed using principal component analysis. The compressed data was used to derive two statistics; Hotelling’s T2 and squared prediction error (SPE). The Hotelling’s T2 and SPE charts predict the probability that the process being monitored has undergone statistically significant changes from previous state or the so-called normal operational state, in terms of mixing quality. The methodology is illustrated by reference to a case study of a sunflower oil/water emulsion process.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | electrical resistance tomography (ERT); multivariate statistical process control (MSPC); principal component analysis (PCA); emulsion. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Jul 2018 15:32 |
Last Modified: | 09 Jul 2018 15:34 |
Published Version: | https://www.isipt.org/world-congress/6/708.html |
Status: | Published |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:114433 |