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...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IOP Publishing
2019
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/27377/ http://umpir.ump.edu.my/id/eprint/27377/7/Image%20reconstruction%20for%20liquid-gas%20regime.pdf |
| _version_ | 1848822779278786560 |
|---|---|
| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:46:40Z |
| format | Conference or Workshop Item |
| id | ump-27377 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:46:40Z |
| publishDate | 2019 |
| publisher | IOP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 (Published) https://doi.org/10.1088/1757-899X/705/1/012025 |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |