scholarly journals Multiphase permittivity imaging using absolute value electrical capacitance tomography data and a level set algorithm

2016 ◽  
Vol 374 (2070) ◽  
pp. 20150332 ◽  
Author(s):  
E. Al Hosani ◽  
M. Soleimani
Keyword(s):  
Level Set ◽  
Measurement Data ◽  
Industrial Process ◽  
Experimental Results ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Absolute Value ◽  
Reconstruction Methods ◽  
Process Tomography ◽  
Capacitance Tomography

Multiphase flow imaging is a very challenging and critical topic in industrial process tomography. In this article, simulation and experimental results of reconstructing the permittivity profile of multiphase material from data collected in electrical capacitance tomography (ECT) are presented. A multiphase narrowband level set algorithm is developed to reconstruct the interfaces between three- or four-phase permittivity values. The level set algorithm is capable of imaging multiphase permittivity by using one set of ECT measurement data, so-called absolute value ECT reconstruction, and this is tested with high-contrast and low-contrast multiphase data. Simulation and experimental results showed the superiority of this algorithm over classical pixel-based image reconstruction methods. The multiphase level set algorithm and absolute ECT reconstruction are presented for the first time, to the best of our knowledge, in this paper and critically evaluated. This article is part of the themed issue ‘Supersensing through industrial process tomography’.

scholarly journals A Benchmark Dataset and Deep Learning-Based Image Reconstruction for Electrical Capacitance Tomography

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3701 ◽  
Author(s):  
Jin Zheng ◽  
Jinku Li ◽  
Yi Li ◽  
Lihui Peng
Keyword(s):  
Machine Learning ◽  
Image Reconstruction ◽  
Benchmark Dataset ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Reconstruction Algorithms ◽  
Reconstruction Methods ◽  
Image Reconstruction Algorithms ◽  
Capacitance Tomography ◽  
The Relationship

Electrical Capacitance Tomography (ECT) image reconstruction has developed for decades and made great achievements, but there is still a need to find a new theoretical framework to make it better and faster. In recent years, machine learning theory has been introduced in the ECT area to solve the image reconstruction problem. However, there is still no public benchmark dataset in the ECT field for the training and testing of machine learning-based image reconstruction algorithms. On the other hand, a public benchmark dataset can provide a standard framework to evaluate and compare the results of different image reconstruction methods. In this paper, a benchmark dataset for ECT image reconstruction is presented. Like the great contribution of ImageNet that transformed machine learning research, this benchmark dataset is hoped to be helpful for society to investigate new image reconstruction algorithms since the relationship between permittivity distribution and capacitance can be better mapped. In addition, different machine learning-based image reconstruction algorithms can be trained and tested by the unified dataset, and the results can be evaluated and compared under the same standard, thus, making the ECT image reconstruction study more open and causing a breakthrough.

scholarly journals Research on Application of Wax Deposition Detection in the Nonmetallic Pipeline Based on Electrical Capacitance Tomography

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Nan Li ◽  
Kui Liu ◽  
Xiangdong Yang ◽  
Mingchen Cao
Keyword(s):  
Experimental Results ◽  
Projection Algorithm ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Wax Deposition ◽  
Binary Images ◽  
Profile Distribution ◽  
The Difference ◽  
Research On Application ◽  
Capacitance Tomography

Wax deposition detection in nonmetallic pipelines is an important requirement in the oil industry. In this paper, an ECT (electrical capacitance tomography) sensor is developed for wax deposition detection in nonmetallic pipelines. Four wax models with different concentrations were established for detection. These models were analyzed through simulations and practical experiments simultaneously and data were compared. A linear back projection algorithm is applied to reconstruct the image with both simulated and experimental data. A comparison of binary images with different concentration of stratified flow was demonstrated; this illustrates that the difference in concentration between the experimental results and profile distribution is less than 1.2%. The experimental results indicate that the ECT system is valid and feasible for detecting the degree of wax deposition in the nonmetallic pipelines.

Nondestructive Dynamic Process Monitoring Using Electrical Capacitance Tomography

2006 ◽  
Vol 321-323 ◽  
pp. 1671-1674 ◽  
Author(s):  
U.Z. Ijaz ◽  
J.H. Kim ◽  
M.C. Kim ◽  
Sin Kim ◽  
J.W. Park ◽  
...  
Keyword(s):  
Measurement Data ◽  
Synthetic Data ◽  
Reconstruction Algorithm ◽  
State Equation ◽  
Electrical Capacitance Tomography ◽  
Time Varying ◽  
Electrical Capacitance ◽  
Independent Measurement ◽  
Reconstruction Performance ◽  
Capacitance Tomography

In this paper, we propose a dynamic Electrical Capacitance Tomography (ECT) image reconstruction algorithm based on the extended Kalman filter (EKF) to estimate the rapidly time-varying changes in the permittivity within the time taken to acquire a full set of independent measurement data. The ECT inverse problem is formulated as a state estimation problem in which the system is modeled with the state equation and the observation equation. Computer simulation with synthetic data is provided and comparison is done with existing modified Newton Raphson (mNR) method to illustrate the reconstruction performance of the proposed algorithm.

scholarly journals Electronic hardware design of electrical capacitance tomography systems

2016 ◽  
Vol 374 (2070) ◽  
pp. 20150331 ◽  
Author(s):  
I. Saied ◽  
M. Meribout
Keyword(s):  
Industrial Process ◽  
Oil And Gas Industry ◽  
Industrial Applications ◽  
Acquisition Time ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Electrical Tomography ◽  
Flowing Fluid ◽  
Front End ◽  
Capacitance Tomography

Electrical tomography techniques for process imaging are very prominent for industrial applications, such as the oil and gas industry and chemical refineries, owing to their ability to provide the flow regime of a flowing fluid within a relatively high throughput. Among the various techniques, electrical capacitance tomography (ECT) is gaining popularity due to its non-invasive nature and its capability to differentiate between different phases based on their permittivity distribution. In recent years, several hardware designs have been provided for ECT systems that have improved its resolution of measurements to be around attofarads (aF, 10 −18  F), or the number of channels, that is required to be large for some applications that require a significant amount of data. In terms of image acquisition time, some recent systems could achieve a throughput of a few hundred frames per second, while data processing time could be achieved in only a few milliseconds per frame. This paper outlines the concept and main features of the most recent front-end and back-end electronic circuits dedicated for ECT systems. In this paper, multiple-excitation capacitance polling, a front-end electronic technique, shows promising results for ECT systems to acquire fast data acquisition speeds. A highly parallel field-programmable gate array (FPGA) based architecture for a fast reconstruction algorithm is also described. This article is part of the themed issue ‘Supersensing through industrial process tomography’.

Applications of Electrical Capacitance Tomography for Research on Phenomena Occurring in the Fluidised Bed Reactors

2014 ◽  
Vol 35 (4) ◽  
pp. 397-408 ◽  
Author(s):  
Jan Porzuczek
Keyword(s):  
Temperature Distribution ◽  
Chemical Engineering ◽  
Electrical Capacitance Tomography ◽  
Fluidised Bed ◽  
Electrical Capacitance ◽  
Process Tomography ◽  
New Research ◽  
Capacitance Tomography ◽  
Data Acquiring ◽  
Metrological Requirements

Abstract The paper presents a review of current achievements in the Electrical Capacitance Tomography (ECT) in relation to its possible applications in the study of phenomena occurring in fluidised bed reactors. Reactors of that kind are being increasingly used in chemical engineering, energetics (fluidised bed boilers) or industrial dryers. However, not all phenomena in the fluidised bed have been thoroughly understood. This results in the need to explore and develop new research methods. Various aspects of ECT operation and data processing are described with their applicability in scientific research. The idea for investigation of temperature distribution in the fluidised bed, using multimodal tomography, is also introduced. Metrological requirements of process tomography such as sensitivity, resolution, and speed of data acquiring are noted.

Sign in / Sign up

Export Citation Format

Share Document