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A Direct Current Measurement Method Based on Terbium Gallium Garnet Crystal and a Double Correlation Detection Algorithm

When applying an optical current transformer (OCT) to direct current measurement, output signals exhibit a low signal-to-noise ratio and signal-to-noise band overlap. Sinusoidal wave modulation is used to solve this problem. A double correlation detection algorithm is used to extract the direct curr...

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Detalles Bibliográficos
Autores principales: Shen, Yan, Chen, Tong, Yu, Wen-bin, Ge, Jin-ming, Han, Yue, Duan, Fang-wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6652142/
https://www.ncbi.nlm.nih.gov/pubmed/31284673
http://dx.doi.org/10.3390/s19132997
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author Shen, Yan
Chen, Tong
Yu, Wen-bin
Ge, Jin-ming
Han, Yue
Duan, Fang-wei
author_facet Shen, Yan
Chen, Tong
Yu, Wen-bin
Ge, Jin-ming
Han, Yue
Duan, Fang-wei
author_sort Shen, Yan
collection PubMed
description When applying an optical current transformer (OCT) to direct current measurement, output signals exhibit a low signal-to-noise ratio and signal-to-noise band overlap. Sinusoidal wave modulation is used to solve this problem. A double correlation detection algorithm is used to extract the direct current (DC) signal, remove white noise and improve the signal-to-noise ratio. Our sensing unit uses a terbium gallium garnet crystal in order to increase the output signal-to-noise ratio and measurement sensitivity. Measurement errors of single correlation and double correlation detection algorithms are compared, and experimental results showed that this measurement method can control measurement error to about 0.3%, thus verifying its feasibility.
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spelling pubmed-66521422019-08-07 A Direct Current Measurement Method Based on Terbium Gallium Garnet Crystal and a Double Correlation Detection Algorithm Shen, Yan Chen, Tong Yu, Wen-bin Ge, Jin-ming Han, Yue Duan, Fang-wei Sensors (Basel) Article When applying an optical current transformer (OCT) to direct current measurement, output signals exhibit a low signal-to-noise ratio and signal-to-noise band overlap. Sinusoidal wave modulation is used to solve this problem. A double correlation detection algorithm is used to extract the direct current (DC) signal, remove white noise and improve the signal-to-noise ratio. Our sensing unit uses a terbium gallium garnet crystal in order to increase the output signal-to-noise ratio and measurement sensitivity. Measurement errors of single correlation and double correlation detection algorithms are compared, and experimental results showed that this measurement method can control measurement error to about 0.3%, thus verifying its feasibility. MDPI 2019-07-07 /pmc/articles/PMC6652142/ /pubmed/31284673 http://dx.doi.org/10.3390/s19132997 Text en © 2019 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
Shen, Yan
Chen, Tong
Yu, Wen-bin
Ge, Jin-ming
Han, Yue
Duan, Fang-wei
A Direct Current Measurement Method Based on Terbium Gallium Garnet Crystal and a Double Correlation Detection Algorithm
title A Direct Current Measurement Method Based on Terbium Gallium Garnet Crystal and a Double Correlation Detection Algorithm
title_full A Direct Current Measurement Method Based on Terbium Gallium Garnet Crystal and a Double Correlation Detection Algorithm
title_fullStr A Direct Current Measurement Method Based on Terbium Gallium Garnet Crystal and a Double Correlation Detection Algorithm
title_full_unstemmed A Direct Current Measurement Method Based on Terbium Gallium Garnet Crystal and a Double Correlation Detection Algorithm
title_short A Direct Current Measurement Method Based on Terbium Gallium Garnet Crystal and a Double Correlation Detection Algorithm
title_sort direct current measurement method based on terbium gallium garnet crystal and a double correlation detection algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6652142/
https://www.ncbi.nlm.nih.gov/pubmed/31284673
http://dx.doi.org/10.3390/s19132997
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