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W. Warsito, L.S. Fan
Neural network multicriteria optimization image reconstruction technique (NN‐MOIRT) for linear and non‐linear process tomographic imaging of two‐ and three‐phase flow systems
- Publisher
- Emerald Publishing
- Copyright
- Copyright © 2011 Emerald Group Publishing Limited. All rights reserved.
- ISSN
- 0332-1649
- DOI
- 10.1108/03321641111133145
- Publisher site
- See Article on Publisher Site
Abstract
Purpose – The purpose of this paper is to calculate the two‐dimensional (2D) centre position of objects with known shapes based on the reconstruction image of a square sensing area estimated with simulated and measured data by using electrical capacitance tomography (ECT). Design/methodology/approach – A 2D electrostatic finite element model is used to calculate the capacitances between electrode pairs. A reconstruction algorithm with low computation time provides suitable images for subsequent image processing techniques. The results based on numerical data are verified by measurements. Findings – It is possible to calculate the centre position of up to four rods (cross‐sectional area about 5 per cent of the measuring area) with an accuracy of 3 per cent in both coordinate directions related to the dimensions of the measuring area. Originality/value – The paper presents an efficient method for position determination of several objects with known shape and uniform permittivity distribution by using ECT measurements with low‐cost electronic for industrial application.
Journal
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering – Emerald Publishing
Published: Jul 12, 2011
Keywords: Capacitance; Image processing