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Vol. 209, Issue 2, February 2017, pp. 12-19




Image Reconstruction of Metal Pipe in Electrical Resistance Tomography

1 Suzanna RIDZUAN AW, 2, 3, * Ruzairi ABDUL RAHIM, 2 Yusri MOHD YUNUS, 3 Mohd Hafiz FAZALUL RAHIMAN, 4 Yasmin WAHAB, 2 Fazlul Rahman Mohd YUNUS,
Elmy Johana MOHAMED, 6Azian ABDUL AZIZ, 2 Chiew Loon GOH, 2 Jayasuman PUSPPANATHAN, 7 R. G. GREEN and 8 Zhen Cong TEE

1 Faculty of Electrical & Automation Engineering Technology, TATiUC, Jalan Panchor, Telok Kalong, Kemaman, Terengganu, 24000, Malaysia
2 Process Tomography and Instrumentation Engineering Research Group (PROTOM-i), Innovative Engineering Research Alliance, Faculty of Electrical Engineering, Universiti Teknologi Malaysia,
Johor, 81310, Malaysia
3 School of Mechatronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, Arau, Perlis, 02600, Malaysia
4 Department of Instrumentation & Control Engineering (ICE), Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, 26600, Malaysia
5 Department of Mechatronics and Robotics, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, 86400, Malaysia
6 Language Academy, Universiti Teknologi Malaysia, Johor Bahru, 81310, Malaysia
7 School of Engineering, Sheffield Hallam University, Sheffield, United Kingdom
8 Logo Solution Sdn. Bhd. Johor, 81200, Malaysia
2 Tel.: +60197104000, fax: +607-4537150

E-mail: ruzairi@fke.utm.my, ruzairi@uthm.edu.my


Received: 29 December 2016 /Accepted: 30 January 2017 /Published: 28 February 2017

Digital Sensors and Sensor Sysstems





Abstract: This paper demonstrates a Linear Back Projection (LBP) algorithm based on the reconstruction of conductivity distributions to identify different sizes and locations of bubble phantoms in a metal pipe. Both forward and inverse problems are discussed. Reconstructed images of the phantoms under test conditions are presented. From the results, it was justified that the sensitivity maps of the conducting boundary strategy can be applied successfully in identifying the location for the phantom of interest using LBP algorithm. Additionally, the number and spatial distribution of the bubble phantoms can be clearly distinguished at any location in the pipeline. It was also shown that the reconstructed images agree well with the bubble phantoms.


Keywords: Conducting boundary strategy, Finite element method, Electrical resistance tomography, Linear back projection, Metal pipe.


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