Simulation of frequency selection for invasive approach of electrical capacitance tomography for conducting pipe application using oil-gas regimes
Electrical capacitance tomography (ECT) is a common imaging technique in process tomography that has been used in various applications especially in pipe applications. It works by measuring the dielectric permittivity distribution in the interior of pipe using capacitive sensors. Based on the princi...
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my.ump.umpir.385302023-09-06T07:29:20Z http://umpir.ump.edu.my/id/eprint/38530/ Simulation of frequency selection for invasive approach of electrical capacitance tomography for conducting pipe application using oil-gas regimes Ain Eazriena, Che Man Yasmin, Abdul Wahab Nurhafizah, Abu Talip Suzanna, Ridzuan Aw Mohd Mawardi, Saari Ruzairi, Abdul Rahim Sia, Yee Yu TK Electrical engineering. Electronics Nuclear engineering Electrical capacitance tomography (ECT) is a common imaging technique in process tomography that has been used in various applications especially in pipe applications. It works by measuring the dielectric permittivity distribution in the interior of pipe using capacitive sensors. Based on the principle of ECT, signals are generated from transmitter and delivered to the right receiver using certain frequency. Assuming random selection of frequency could affect the wanted signal at the receivers, this paper will analyse the frequency selection ranged from 100 to 500 kHz with increment of 50 kHz thoroughly. The objective of this paper is to select the right frequency for the invasive approach of ECT for the conducting pipe applications using common parameter in ECT and oil-gas regimes as a medium. The frequency selection is observed using the voltage reading at each of the receivers and simulated using COMSOL Multiphysics software. Based on the results, the optimal frequency selection is 400 kHz where the best coverage area of sensor is 90%. This selection has the highest value of electrical voltage among other range proposed while the least electrical voltage produce is at frequency 300 kHz and coverage area of 50%. IET 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38530/1/%5BPublish%5DSimulation_of_frequency_selection_for_invasive.pdf pdf en http://umpir.ump.edu.my/id/eprint/38530/7/Simulation%20of%20frequency%20selection%20for%20invasive%20approach%20of%20electrical%20capacitance%20.pdf Ain Eazriena, Che Man and Yasmin, Abdul Wahab and Nurhafizah, Abu Talip and Suzanna, Ridzuan Aw and Mohd Mawardi, Saari and Ruzairi, Abdul Rahim and Sia, Yee Yu (2022) Simulation of frequency selection for invasive approach of electrical capacitance tomography for conducting pipe application using oil-gas regimes. In: Engineering Technology International Conference (ETIC 2022), 7 - 8 September 2022 , Virtually hosted by Universiti Malaysia Pahang. pp. 63-68.. ISBN 978-1-83953-782-0 https://doi.org/10.1049/icp.2022.2571 |
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TK Electrical engineering. Electronics Nuclear engineering Ain Eazriena, Che Man Yasmin, Abdul Wahab Nurhafizah, Abu Talip Suzanna, Ridzuan Aw Mohd Mawardi, Saari Ruzairi, Abdul Rahim Sia, Yee Yu Simulation of frequency selection for invasive approach of electrical capacitance tomography for conducting pipe application using oil-gas regimes |
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Electrical capacitance tomography (ECT) is a common imaging technique in process tomography that has been used in various applications especially in pipe applications. It works by measuring the dielectric permittivity distribution in the interior of pipe using capacitive sensors. Based on the principle of ECT, signals are generated from transmitter and delivered to the right receiver using certain frequency. Assuming random selection of frequency could affect the wanted signal at the receivers, this paper will analyse the frequency selection ranged from 100 to 500 kHz with increment of 50 kHz thoroughly. The objective of this paper is to select the right frequency for the invasive approach of ECT for the conducting pipe applications using common parameter in ECT and oil-gas regimes as a medium. The frequency selection is observed using the voltage reading at each of the receivers and simulated using COMSOL Multiphysics software. Based on the results, the optimal frequency selection is 400 kHz where the best coverage area of sensor is 90%. This selection has the highest value of electrical voltage among other range proposed while the least electrical voltage produce is at frequency 300 kHz and coverage area of 50%. |
format |
Conference or Workshop Item |
author |
Ain Eazriena, Che Man Yasmin, Abdul Wahab Nurhafizah, Abu Talip Suzanna, Ridzuan Aw Mohd Mawardi, Saari Ruzairi, Abdul Rahim Sia, Yee Yu |
author_facet |
Ain Eazriena, Che Man Yasmin, Abdul Wahab Nurhafizah, Abu Talip Suzanna, Ridzuan Aw Mohd Mawardi, Saari Ruzairi, Abdul Rahim Sia, Yee Yu |
author_sort |
Ain Eazriena, Che Man |
title |
Simulation of frequency selection for invasive approach of electrical capacitance tomography for conducting pipe application using oil-gas regimes |
title_short |
Simulation of frequency selection for invasive approach of electrical capacitance tomography for conducting pipe application using oil-gas regimes |
title_full |
Simulation of frequency selection for invasive approach of electrical capacitance tomography for conducting pipe application using oil-gas regimes |
title_fullStr |
Simulation of frequency selection for invasive approach of electrical capacitance tomography for conducting pipe application using oil-gas regimes |
title_full_unstemmed |
Simulation of frequency selection for invasive approach of electrical capacitance tomography for conducting pipe application using oil-gas regimes |
title_sort |
simulation of frequency selection for invasive approach of electrical capacitance tomography for conducting pipe application using oil-gas regimes |
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IET |
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2022 |
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http://umpir.ump.edu.my/id/eprint/38530/1/%5BPublish%5DSimulation_of_frequency_selection_for_invasive.pdf http://umpir.ump.edu.my/id/eprint/38530/7/Simulation%20of%20frequency%20selection%20for%20invasive%20approach%20of%20electrical%20capacitance%20.pdf http://umpir.ump.edu.my/id/eprint/38530/ https://doi.org/10.1049/icp.2022.2571 |
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