Application of Electrical Capacitance Tomography for Imaging Conductive Materials in Industrial Processes
Joint Authors
Bouazza, Kheir Eddine
Deabes, Wael
Sheta, Alaa
Abdelrahman, Mohamed
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-28
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
This paper presents highly robust, novel approaches to solving the forward and inverse problems of an Electrical Capacitance Tomography (ECT) system for imaging conductive materials.
ECT is one of the standard tomography techniques for industrial imaging.
An ECT technique is nonintrusive and rapid and requires a low burden cost.
However, the ECT system still suffers from a soft-field problem which adversely affects the quality of the reconstructed images.
Although many image reconstruction algorithms have been developed, still the generated images are inaccurate and poor.
In this work, the Capacitance Artificial Neural Network (CANN) system is presented as a solver for the forward problem to calculate the estimated capacitance measurements.
Moreover, the Metal Filled Fuzzy System (MFFS) is proposed as a solver for the inverse problem to construct the metal images.
To assess the proposed approaches, we conducted extensive experiments on image metal distributions in the lost foam casting (LFC) process to light the reliability of the system and its efficiency.
The experimental results showed that the system is sensible and superior.
American Psychological Association (APA)
Deabes, Wael& Sheta, Alaa& Bouazza, Kheir Eddine& Abdelrahman, Mohamed. 2019. Application of Electrical Capacitance Tomography for Imaging Conductive Materials in Industrial Processes. Journal of Sensors،Vol. 2019, no. 2019, pp.1-22.
https://search.emarefa.net/detail/BIM-1187625
Modern Language Association (MLA)
Deabes, Wael…[et al.]. Application of Electrical Capacitance Tomography for Imaging Conductive Materials in Industrial Processes. Journal of Sensors No. 2019 (2019), pp.1-22.
https://search.emarefa.net/detail/BIM-1187625
American Medical Association (AMA)
Deabes, Wael& Sheta, Alaa& Bouazza, Kheir Eddine& Abdelrahman, Mohamed. Application of Electrical Capacitance Tomography for Imaging Conductive Materials in Industrial Processes. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-22.
https://search.emarefa.net/detail/BIM-1187625
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187625