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Conductivity Classification of Multi-Shape Nonmagnetic Metal Considering Spatial Position Drift Effect with a Triple-Coil Electromagnetic Sensor

The primary step in metal recovery is metal classification. During eddy current testing (ECT), the shape of the sample can have an impact on the measurement results. To classify nonmagnetic metals in three shapes—planar, cylindrical, and spherical—a triple-coil electromagnetic sensor that operates a...

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Autores principales: Wang, Dong, Zhang, Zhijie, Yin, Wuliang, Chen, Haoze, Ma, Huidong, Zhou, Guangyu, Zhang, Yuchen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371048/
https://www.ncbi.nlm.nih.gov/pubmed/35957251
http://dx.doi.org/10.3390/s22155694
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author Wang, Dong
Zhang, Zhijie
Yin, Wuliang
Chen, Haoze
Ma, Huidong
Zhou, Guangyu
Zhang, Yuchen
author_facet Wang, Dong
Zhang, Zhijie
Yin, Wuliang
Chen, Haoze
Ma, Huidong
Zhou, Guangyu
Zhang, Yuchen
author_sort Wang, Dong
collection PubMed
description The primary step in metal recovery is metal classification. During eddy current testing (ECT), the shape of the sample can have an impact on the measurement results. To classify nonmagnetic metals in three shapes—planar, cylindrical, and spherical—a triple-coil electromagnetic sensor that operates as two coil pairs is used, and the difference in the phase tangent of the impedance change of the two coil pairs is used as a feature for the classification. The effect of spatial position drift between the sensor and the sample divided into lift-off vertically and horizontal drift horizontally on this feature is considered. Experimental results prove that there is a linear relationship between the feature and lift-off regardless of the metal shape, whereas horizontal drift has no effect on this feature. In addition, the slope of the curve between the feature and the lift-off is different for different shapes. Finally, a classification method eliminating the effect of lift-off variation has been constructed, and the classification accuracy of Cu-Al-Zn-Ti metals reached 96.3%, 96.3%, 92.6%, and 100%, respectively, with an overall correct classification rate of 96.3%.
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spelling pubmed-93710482022-08-12 Conductivity Classification of Multi-Shape Nonmagnetic Metal Considering Spatial Position Drift Effect with a Triple-Coil Electromagnetic Sensor Wang, Dong Zhang, Zhijie Yin, Wuliang Chen, Haoze Ma, Huidong Zhou, Guangyu Zhang, Yuchen Sensors (Basel) Article The primary step in metal recovery is metal classification. During eddy current testing (ECT), the shape of the sample can have an impact on the measurement results. To classify nonmagnetic metals in three shapes—planar, cylindrical, and spherical—a triple-coil electromagnetic sensor that operates as two coil pairs is used, and the difference in the phase tangent of the impedance change of the two coil pairs is used as a feature for the classification. The effect of spatial position drift between the sensor and the sample divided into lift-off vertically and horizontal drift horizontally on this feature is considered. Experimental results prove that there is a linear relationship between the feature and lift-off regardless of the metal shape, whereas horizontal drift has no effect on this feature. In addition, the slope of the curve between the feature and the lift-off is different for different shapes. Finally, a classification method eliminating the effect of lift-off variation has been constructed, and the classification accuracy of Cu-Al-Zn-Ti metals reached 96.3%, 96.3%, 92.6%, and 100%, respectively, with an overall correct classification rate of 96.3%. MDPI 2022-07-29 /pmc/articles/PMC9371048/ /pubmed/35957251 http://dx.doi.org/10.3390/s22155694 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Dong
Zhang, Zhijie
Yin, Wuliang
Chen, Haoze
Ma, Huidong
Zhou, Guangyu
Zhang, Yuchen
Conductivity Classification of Multi-Shape Nonmagnetic Metal Considering Spatial Position Drift Effect with a Triple-Coil Electromagnetic Sensor
title Conductivity Classification of Multi-Shape Nonmagnetic Metal Considering Spatial Position Drift Effect with a Triple-Coil Electromagnetic Sensor
title_full Conductivity Classification of Multi-Shape Nonmagnetic Metal Considering Spatial Position Drift Effect with a Triple-Coil Electromagnetic Sensor
title_fullStr Conductivity Classification of Multi-Shape Nonmagnetic Metal Considering Spatial Position Drift Effect with a Triple-Coil Electromagnetic Sensor
title_full_unstemmed Conductivity Classification of Multi-Shape Nonmagnetic Metal Considering Spatial Position Drift Effect with a Triple-Coil Electromagnetic Sensor
title_short Conductivity Classification of Multi-Shape Nonmagnetic Metal Considering Spatial Position Drift Effect with a Triple-Coil Electromagnetic Sensor
title_sort conductivity classification of multi-shape nonmagnetic metal considering spatial position drift effect with a triple-coil electromagnetic sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371048/
https://www.ncbi.nlm.nih.gov/pubmed/35957251
http://dx.doi.org/10.3390/s22155694
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