Parametric Modelling Algorithms in Electrical Capacitance Tomography for Multiphase Flow Monitoring

2006 ◽  
Author(s):  
K. Grudzien ◽  
A. Romanowski ◽  
R. Aykroyd ◽  
R. Williams ◽  
V. Mosorov
Keyword(s):  
Multiphase Flow ◽  
Electrical Capacitance Tomography ◽  
Parametric Modelling ◽  
Electrical Capacitance ◽  
Flow Monitoring ◽  
Capacitance Tomography

scholarly journals Application of electrical capacitance tomography and artificial neural networks to rapid estimation of cylindrical shape parameters of industrial flow structure

2016 ◽  
Vol 65 (4) ◽  
pp. 657-669 ◽  
Author(s):  
Hela Garbaa ◽  
Lidia Jackowska-Strumiłło ◽  
Krzysztof Grudzień ◽  
Andrzej Romanowski
Keyword(s):  
Electrical Capacitance Tomography ◽  
Cylindrical Shape ◽  
Electrical Capacitance ◽  
Flow Monitoring ◽  
Flow Parameters ◽  
Classic Approach ◽  
Artificial Neural ◽  
Funnel Flow ◽  
Capacitance Tomography

Abstract A new approach to solve the inverse problem in electrical capacitance tomography is presented. The proposed method is based on an artificial neural network to estimate three different parameters of a circular object present inside a pipeline, i.e. radius and 2D position coordinates. This information allows the estimation of the distribution of material inside a pipe and determination of the characteristic parameters of a range of flows, which are characterised by a circular objects emerging within a cross section such as funnel flow in a silo gravitational discharging process. The main advantages of the proposed approach are explicitly: the desired characteristic flow parameters are estimated directly from the measured capacitances and rapidity, which in turn is crucial for online flow monitoring. In a classic approach in order to obtain these parameters in the first step the image is reconstructed and then the parameters are estimated with the use of image processing methods. The obtained results showed significant reduction of computations time in comparison to the iterative LBP or Levenberg-Marquard algorithms.

scholarly journals Toward Multiphase Flow Decomposition Based on Electrical Capacitance Tomography Sensors

2017 ◽  
Vol 17 (24) ◽  
pp. 8027-8036 ◽  
Author(s):  
Rafiul K. Rasel ◽  
Christopher E. Zuccarelli ◽  
Qussai M. Marashdeh ◽  
Liang-Shih Fan ◽  
Fernando L. Teixeira
Keyword(s):  
Multiphase Flow ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Capacitance Tomography ◽  
Flow Decomposition

DESIGN OF FLEXIBLE ELECTRICAL CAPACITANCE TOMOGRAPHY SENSOR

2015 ◽  
Vol 77 (28) ◽  
Author(s):  
MT Masturah ◽  
MHF Rahiman ◽  
Zulkarnay Zakaria ◽  
AR Rahim ◽  
NM Ayob
Keyword(s):  
Outer Layer ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Capacitance Tomography ◽  
Fluid Imaging

This paper discussed the design–functionality and application of Flexible Electrical Capacitance Tomography sensor (FlexiECT). The sensors consist of 12 electrodes allocated surrounding the outer layer of the pipeline. The sensor is designed in such that the flexibility features suit the applications in the pipeline of multiple size. This paper also discussed the preliminary result of FlexiECT applications in fluid imaging by identifying the percentage of two mixing fluids.

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