Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography
It is crucial to select a suitable relaxation factor in iterative image reconstruction algorithms (e.g. Landweber iterative algorithm) for electrical capacitance tomography (ECT) because it affects the convergence. By simulation, it is found notably that the relaxation factor should be selected adap...
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my.uthm.eprints.64032022-01-30T08:38:20Z http://eprints.uthm.edu.my/6403/ Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography Tian, Wenbin Ramli, Mimi Faisyalini Yang, Wuqiang Sun, Jiangtao TK Electrical engineering. Electronics Nuclear engineering It is crucial to select a suitable relaxation factor in iterative image reconstruction algorithms (e.g. Landweber iterative algorithm) for electrical capacitance tomography (ECT) because it affects the convergence. By simulation, it is found notably that the relaxation factor should be selected adaptively according to the sensor structure (e.g. the number of electrodes) and the permittivity distribution in capacitance measurements. With different number of electrodes and four typical permittivity distributions, the relaxation factor and the related convergence are investigated in consideration of the change in relative image error. It is shown that the relaxation factor can be chosen based on the upper boundary of all relaxation factors. The conclusions in this paper can be used for practical industrial processes, regarding the adaptive selection of relaxation factor and the number of iterations needed. IEEE 2020 Article PeerReviewed text en http://eprints.uthm.edu.my/6403/1/AJ%202020%20%28844%29.pdf Tian, Wenbin and Ramli, Mimi Faisyalini and Yang, Wuqiang and Sun, Jiangtao (2020) Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography. IEEE Sensors Journal, 1 (NIL). pp. 1-6. ISSN 1558-1748 |
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TK Electrical engineering. Electronics Nuclear engineering Tian, Wenbin Ramli, Mimi Faisyalini Yang, Wuqiang Sun, Jiangtao Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography |
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It is crucial to select a suitable relaxation factor in iterative image reconstruction algorithms (e.g. Landweber iterative algorithm) for electrical capacitance tomography (ECT) because it affects the convergence. By simulation, it is found notably that the relaxation factor should be selected adaptively according to the sensor structure (e.g. the number of electrodes) and the permittivity distribution in capacitance measurements. With different number of electrodes and four typical permittivity distributions, the relaxation factor and the related convergence are investigated in consideration of the change in relative image error. It is shown that the relaxation factor can be chosen based on the upper boundary of all relaxation factors. The conclusions in this paper can be used for practical industrial processes, regarding the adaptive selection of relaxation factor and the number of iterations needed. |
format |
Article |
author |
Tian, Wenbin Ramli, Mimi Faisyalini Yang, Wuqiang Sun, Jiangtao |
author_facet |
Tian, Wenbin Ramli, Mimi Faisyalini Yang, Wuqiang Sun, Jiangtao |
author_sort |
Tian, Wenbin |
title |
Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography |
title_short |
Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography |
title_full |
Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography |
title_fullStr |
Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography |
title_full_unstemmed |
Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography |
title_sort |
investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography |
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IEEE |
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2020 |
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http://eprints.uthm.edu.my/6403/1/AJ%202020%20%28844%29.pdf http://eprints.uthm.edu.my/6403/ |
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1738581488520134656 |