Statistical method for analysis of multidimensional tomographic data

Author

Sankowski, Dominik ; Mosorov, Volodymyr ; Grudzien, Krzysztof

Author_Institution

Comput. Eng. Dept., Tech. Univ. of Lodz, Poland

fYear

2003

fDate

18-22 Feb. 2003

Firstpage

110

Lastpage

112

Abstract

The paper presents the investigations of gas/solids flow in an opaque system by using industrial process tomography. The statistical analysis of such processes permits the decomposition of a multiphase flow into separated components. The components of the flow are defined as areas, in which changes in the material concentration are very similar. Changes in the position of individual components permit to investigate the dynamics of the processes.

Keywords

capacitance measurement; computerised tomography; conveyors; covariance matrices; eigenvalues and eigenfunctions; flow visualisation; image reconstruction; pneumatic systems; principal component analysis; probability; process monitoring; statistical process control; stochastic processes; two-phase flow; 2D-image flow; concentration profiles; covariance matrix; eigenvalue decomposition; electrical capacitance tomography; gas-solids flow; hierarchical model; industrial process tomography; multidimensional tomographic data; multiphase flow decomposition; multivariate method; opaque system; particle tracing; plug bodies; pneumatic conveying; principle component analysis; probabilistic processes; process dynamics; separated components; statistical method; stochastic processes; turbulent mixing; two-dimensional representation; Artificial intelligence; Electrical capacitance tomography; Gas industry; Gravity; Instruments; Monitoring; Multidimensional systems; Plugs; Solids; Statistical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

CAD Systems in Microelectronics, 2003. CADSM 2003. Proceedings of the 7th International Conference. The Experience of Designing and Application of

Print_ISBN

966-553-278-2

Type

conf

DOI

10.1109/CADSM.2003.1254999

Filename

1254999