Title :
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
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;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.612068
