Image reconstruction for liquid-gas regime identification based on multiple excitation sources in electrical resistance tomography system

Electrical resistance tomography (ERT) reconstructs internal resistance images of the field from electrical measurements on the surface. The objective of this paper is to obtain the tomogram of the liquid-gas regime of ERT system by using multiple excitation sources. A linear back projection algorit...

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Main Authors:	Yasmin, Abdul Wahab, M. F., Fuad, N. M., A. Ghani, Z. M., Zain, M. M., Noh, Mohd Anwar, Zawawi, M. S., Najib
Format:	Conference or Workshop Item
Language:	English
Published:	IOP Publishing 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/27377/ http://umpir.ump.edu.my/id/eprint/27377/ http://umpir.ump.edu.my/id/eprint/27377/7/Image%20reconstruction%20for%20liquid-gas%20regime.pdf

id	ump-27377
recordtype	eprints
spelling	ump-273772020-01-16T04:46:57Z http://umpir.ump.edu.my/id/eprint/27377/ Image reconstruction for liquid-gas regime identification based on multiple excitation sources in electrical resistance tomography system Yasmin, Abdul Wahab M. F., Fuad N. M., A. Ghani Z. M., Zain M. M., Noh Mohd Anwar, Zawawi M. S., Najib TK Electrical engineering. Electronics Nuclear engineering Electrical resistance tomography (ERT) reconstructs internal resistance images of the field from electrical measurements on the surface. The objective of this paper is to obtain the tomogram of the liquid-gas regime of ERT system by using multiple excitation sources. A linear back projection algorithm was implemented as a basic algorithm. Then, it was modified to suit the implementation of multiple excitation sources. A liquid-gas regime in the steel pipe was used as a tested medium. The analysis and performance of the image reconstructed which applies multiple excitation sources were compared with the single excitation technique. As a common strategy applied a single excitation source and produce problem especially at the center of the pipe, this paper mainly focuses on image reconstruction of multiple excitation sources. As a conclusion, 50% of the excitation source cannot produce the image as expected. Tomograms that produced by using the single excitation source were much better than the images obtained by using 50% of the excitation source. IOP Publishing 2019 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/27377/7/Image%20reconstruction%20for%20liquid-gas%20regime.pdf Yasmin, Abdul Wahab and M. F., Fuad and N. M., A. Ghani and Z. M., Zain and M. M., Noh and Mohd Anwar, Zawawi and M. S., Najib (2019) Image reconstruction for liquid-gas regime identification based on multiple excitation sources in electrical resistance tomography system. In: IOP Conference Series: Materials Science and Engineering, 5th International Conference on Man Machine Systems, 26-27 August 2019 , Pulau Pinang, Malaysia. pp. 1-2., 705 (012025). ISSN 1757-899X https://doi.org/10.1088/1757-899X/705/1/012025
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Yasmin, Abdul Wahab M. F., Fuad N. M., A. Ghani Z. M., Zain M. M., Noh Mohd Anwar, Zawawi M. S., Najib Image reconstruction for liquid-gas regime identification based on multiple excitation sources in electrical resistance tomography system
description	Electrical resistance tomography (ERT) reconstructs internal resistance images of the field from electrical measurements on the surface. The objective of this paper is to obtain the tomogram of the liquid-gas regime of ERT system by using multiple excitation sources. A linear back projection algorithm was implemented as a basic algorithm. Then, it was modified to suit the implementation of multiple excitation sources. A liquid-gas regime in the steel pipe was used as a tested medium. The analysis and performance of the image reconstructed which applies multiple excitation sources were compared with the single excitation technique. As a common strategy applied a single excitation source and produce problem especially at the center of the pipe, this paper mainly focuses on image reconstruction of multiple excitation sources. As a conclusion, 50% of the excitation source cannot produce the image as expected. Tomograms that produced by using the single excitation source were much better than the images obtained by using 50% of the excitation source.
format	Conference or Workshop Item
author	Yasmin, Abdul Wahab M. F., Fuad N. M., A. Ghani Z. M., Zain M. M., Noh Mohd Anwar, Zawawi M. S., Najib
author_facet	Yasmin, Abdul Wahab M. F., Fuad N. M., A. Ghani Z. M., Zain M. M., Noh Mohd Anwar, Zawawi M. S., Najib
author_sort	Yasmin, Abdul Wahab
title	Image reconstruction for liquid-gas regime identification based on multiple excitation sources in electrical resistance tomography system
title_short	Image reconstruction for liquid-gas regime identification based on multiple excitation sources in electrical resistance tomography system
title_full	Image reconstruction for liquid-gas regime identification based on multiple excitation sources in electrical resistance tomography system
title_fullStr	Image reconstruction for liquid-gas regime identification based on multiple excitation sources in electrical resistance tomography system
title_full_unstemmed	Image reconstruction for liquid-gas regime identification based on multiple excitation sources in electrical resistance tomography system
title_sort	image reconstruction for liquid-gas regime identification based on multiple excitation sources in electrical resistance tomography system
publisher	IOP Publishing
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/27377/ http://umpir.ump.edu.my/id/eprint/27377/ http://umpir.ump.edu.my/id/eprint/27377/7/Image%20reconstruction%20for%20liquid-gas%20regime.pdf
first_indexed	2023-09-18T22:43:00Z
last_indexed	2023-09-18T22:43:00Z
_version_	1777417040249749504

Image reconstruction for liquid-gas regime identification based on multiple excitation sources in electrical resistance tomography system

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