Sensitivity Mapping for Electrical Tomography Using Finite Element Method

Authors

  • Jaysuman Pusppanathan Faculty of Biosciences and Biomedical Engineering, Universiti Teknologi Malaysia, 81300 Skudai Johor
  • Hanis Liyana Mohmad Ameran Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor
  • Ahmad Azahari Hamzah Section of chemical emgineering technology, UniKL Micet, 78000 Alor Gajah Melaka
  • Ruzairi Abdul Rahim Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia
  • Fatin Aliah Phang Abdullah Centre of Engineering Education (CEE), Universiti Teknologi Malaysia, 81300 Skudai Johor, Malaysia.
  • Nor Hasrul Akhmal Ngadiman Faculty of Mechanical Engineering, Universiti Teknologi Malaysia. 81310 Skudai Johor, Malaysia
  • Yasmin Abdul Wahab Instrumentation and Control Engineering department (ICE), Faculty of Electrical and Electronics Engineering Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

Keywords:

Sensitivity map, tomography, electrical capacitance

Abstract

This paper presents the construction of sensitivity map (SM) using finite element method for electrical tomography systems that has the soft-field characteristic such as electrical capacitance tomography (ECT). The SM is generated based on a sixteen-channel ECT system on a 110 mm diameter pipe circumference by using COMSOL Multiphysic. Sensitivity mapping is the pivotal element for tomography imaging in solving the forward problem. The obtained sensitivity map for 120 projections forming a sensitivity matrices are presented in this paper.

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Published

03-09-2018

How to Cite

Pusppanathan, J., Mohmad Ameran, H. L., Hamzah, A. A., Abdul Rahim, R., Abdullah, F. A. P., Ngadiman, N. H. A., & Wahab, Y. A. (2018). Sensitivity Mapping for Electrical Tomography Using Finite Element Method. International Journal of Integrated Engineering, 10(4). Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/2183

Issue

Vol. 10 No. 4 (2018)

Section

Articles

License

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Open Access is by licensing the content with a Creative Commons (CC) license. 

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 

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