Multiphase process modelling by tomographic techniques

Author

Ni, Xianfeng ; Simons, Stef J R ; Williams, R.A. ; Jia, X.

Author_Institution

Dept. of Chem. & Biochem. Eng., Univ. Coll. London, UK

Volume

5

fYear

1997

fDate

4-6 Jun 1997

Firstpage

3273

Abstract

The imaging of phase distributions in vessels using tomographic techniques offers benefits in relation to improved and more efficient control schemes arising from comprehensive data acquisition. However, such image measurements are multivariate in nature and require statistical treatment. Therefore, the modelling of a multiphase process by tomography is different from the conventional process modelling where the measurements are univariate. In this paper, principal component analysis is used to extract useful information from tomographic images and to estimate the dynamic behaviour of mixing processes

Keywords

chemical technology; image processing; process control; statistical analysis; tomography; comprehensive data acquisition; dynamic behaviour; image measurements; mixing processes; multiphase process modelling; phase distributions; principal component analysis; statistical treatment; tomographic techniques; Chemical engineering; Chemical processes; Data acquisition; Data mining; Educational institutions; Fluid dynamics; Graphics; Principal component analysis; Sensor phenomena and characterization; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1997. Proceedings of the 1997

Conference_Location

Albuquerque, NM

ISSN

0743-1619

Print_ISBN

0-7803-3832-4

Type

conf

DOI

10.1109/ACC.1997.612068

Filename

612068