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Conductivity Classification of Non-Magnetic Tilting Metals by Eddy Current Sensors
Metallic waste classification benefits the environment, resource reuse and industrial economy. This paper provides a fast, non-contact and convenient method based on eddy current to classify metals. The characteristic phase to characterize different conductivity is introduced and extracted from mutu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249002/ https://www.ncbi.nlm.nih.gov/pubmed/32375233 http://dx.doi.org/10.3390/s20092608 |
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author | Du, Yue Zhang, Zhijie Yin, Wuliang Zhu, Shuang Chen, Ziqi Xu, Hanyang |
author_facet | Du, Yue Zhang, Zhijie Yin, Wuliang Zhu, Shuang Chen, Ziqi Xu, Hanyang |
author_sort | Du, Yue |
collection | PubMed |
description | Metallic waste classification benefits the environment, resource reuse and industrial economy. This paper provides a fast, non-contact and convenient method based on eddy current to classify metals. The characteristic phase to characterize different conductivity is introduced and extracted from mutual inductance in the form of amplitude and phase. This characteristic phase could offer great separation for non-tilting metals. Although it is hard to classify tilting metals by only using the characteristic phase, we propose the technique of phase compensation utilizing photoelectric sensors to obtain the rectified phase corresponding to the non-tilting situation. Finally, we construct a classification algorithm involving phase compensation. By conducting a test, a [Formula: see text] classification rate is achieved. |
format | Online Article Text |
id | pubmed-7249002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72490022020-06-10 Conductivity Classification of Non-Magnetic Tilting Metals by Eddy Current Sensors Du, Yue Zhang, Zhijie Yin, Wuliang Zhu, Shuang Chen, Ziqi Xu, Hanyang Sensors (Basel) Article Metallic waste classification benefits the environment, resource reuse and industrial economy. This paper provides a fast, non-contact and convenient method based on eddy current to classify metals. The characteristic phase to characterize different conductivity is introduced and extracted from mutual inductance in the form of amplitude and phase. This characteristic phase could offer great separation for non-tilting metals. Although it is hard to classify tilting metals by only using the characteristic phase, we propose the technique of phase compensation utilizing photoelectric sensors to obtain the rectified phase corresponding to the non-tilting situation. Finally, we construct a classification algorithm involving phase compensation. By conducting a test, a [Formula: see text] classification rate is achieved. MDPI 2020-05-03 /pmc/articles/PMC7249002/ /pubmed/32375233 http://dx.doi.org/10.3390/s20092608 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Du, Yue Zhang, Zhijie Yin, Wuliang Zhu, Shuang Chen, Ziqi Xu, Hanyang Conductivity Classification of Non-Magnetic Tilting Metals by Eddy Current Sensors |
title | Conductivity Classification of Non-Magnetic Tilting Metals by Eddy Current Sensors |
title_full | Conductivity Classification of Non-Magnetic Tilting Metals by Eddy Current Sensors |
title_fullStr | Conductivity Classification of Non-Magnetic Tilting Metals by Eddy Current Sensors |
title_full_unstemmed | Conductivity Classification of Non-Magnetic Tilting Metals by Eddy Current Sensors |
title_short | Conductivity Classification of Non-Magnetic Tilting Metals by Eddy Current Sensors |
title_sort | conductivity classification of non-magnetic tilting metals by eddy current sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249002/ https://www.ncbi.nlm.nih.gov/pubmed/32375233 http://dx.doi.org/10.3390/s20092608 |
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