A new iterative image reconstruction algorithm for electrical capacitance tomography (ECT) is proposed that is based on iterative soft thresholding of a total variation penalty and adaptive reweighted compressive sensing. This algorithm encourages sharp changes in the ECT image and overcomes the disadvantage of the l1 minimization by equipping the total variation with an adaptive weighting depe...

Electrical Capacitance Tomography is a non intruding technique used in industries. It is based on measuring the capacitance of multi-electrode ECT sensor produced by the change in dielectricity or due to change in concentration of material. With the use of computed values, a cross sectional image of the material placed in the dielectric medium is obtained. ECT system can be used in chemical fie...

This work investigates the pros and cons of using the Electrical Capacitance Tomography (ECT) for imaging and quantitative characterization of flow dynamics in a four-phase trickle-bed reactor. ECT use is increasing in non-invasive imaging thanks to its low cost and convenience compared to nuclear ionizing, non-ionizing and other tomography methods. Yet, ECT has low spatial resolution, lack of ...

We introduce a numerically improved image reconstruction technique for imaging two-phase oil–gas pipe flows using electrical capacitance tomography, based on simulated annealing and iterative linear forward modelling. In the simulated annealing method, a permittivity image is reconstructed by minimizing iteratively an energy function related to the difference between the measured ECT data and t...

Abstract Conventional electrical capacitance tomography (ECT) is widely used for monitoring the fluids flow in a pipeline. As emergence of microfluidics, system has been miniaturized and integrated into microfludic platform imaging purposes. The on-chip ECT designed to monitor permittivity distribution micro-platform by integrating planar electrodes with sensing region. However, limited researc...

Electrical capacitance tomography (ECT) technology has the softfield nature and the ill-posed problems. To solve the problem of low imaging quality by standard Tikhonov regularization, a wavelet fusion algorithm based on Tikhonov regularization is proposed in this paper. Firstly, Tikhonov regularization method is used to solve ill-posed characteristic of system inverse problem, then the initial...

Abstract – A model based, non-linear reconstruction for Electrical Capacitance Tomography (ECT) is considered as an inverse problem to find the spatial distributed permittivities in a pipe. In practice measurements are performed with a limited number of electrodes and multiple independent measurements are necessary to get information about the whole interior. In this paper the superposition of ...

This paper presents novel research on the development of a generic intelligent oil fraction sensor based on Electrical Capacitance Tomography (ECT) data. An artificial Neural Network (ANN) has been employed as the intelligent system to sense and estimate oil fractions from the cross-sections of two-component flows comprising oil and gas in a pipeline. Previous works only focused on estimating t...

Electrical capacitance tomography (ECT) is a technique invented in the 1980’s to determine material distribution in the interior of an enclosed environment by means of external capacitance measurements (Huang et al., 1989a, 1992b). In a typical ECT system, 8 to 16 electrodes (Yang, 2010) are symmetrically mounted inside or outside a cylindrical container, as illustrated in Figure 1. During the ...

This paper presents a "direct" method to gas-oil interface level determination using an artificial neural network approach based on Electrical Capacitance Tomography (ECT) measurements. "Direct" here means that the gas-oil interface levels are obtained directly from the ECT measurements without recourse to image reconstruction. The preliminary work models a separation tank that i~ filled with g...