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SF(6) High-Voltage Circuit Breaker Contact Status Detection at Different Currents
Currently, the online non-destructive testing (NDT) methods to measure the contact states of high-voltage circuit breakers (HVCBs) with SF(6) gas as a quenching medium are lacking. This paper aims to put forward a novel method to detect the contact state of an HVCB based on the vibrational signal. F...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657242/ https://www.ncbi.nlm.nih.gov/pubmed/36366185 http://dx.doi.org/10.3390/s22218490 |
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author | Guo, Ze Li, Linjing Han, Weimeng Guo, Zixuan |
author_facet | Guo, Ze Li, Linjing Han, Weimeng Guo, Zixuan |
author_sort | Guo, Ze |
collection | PubMed |
description | Currently, the online non-destructive testing (NDT) methods to measure the contact states of high-voltage circuit breakers (HVCBs) with SF(6) gas as a quenching medium are lacking. This paper aims to put forward a novel method to detect the contact state of an HVCB based on the vibrational signal. First, for a 40.5-kV SF(6) HVCB prototype, a mechanical vibration detection system along with a high-current generator to provide the test current is designed. Given this, vibration test experiments are carried out, and the vibration signal data under various currents and corresponding contact states are obtained. Afterward, a feature extraction method based on the frequency is designed. The state of the HVCB contacts is then determined using optimized deep neural networks (DNNs) along with the method of adaptive moment estimation (Adam) on the obtained experimental data. Finally, the hyperparameters for the DNNs are tuned using the Bayesian optimization (BO) technique, and a global HVCB contact state recognition model at various currents is proposed. The obtained results clearly depict that the proposed recognition model can accurately identify five various contact states of HVCBs for the currents between 1000 A and 3500 A, and the recognition accuracy rate is above 96%. The designed experimental and theoretical analysis in our study will provide the references for future monitoring and diagnosis of faults in HVCBs. |
format | Online Article Text |
id | pubmed-9657242 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96572422022-11-15 SF(6) High-Voltage Circuit Breaker Contact Status Detection at Different Currents Guo, Ze Li, Linjing Han, Weimeng Guo, Zixuan Sensors (Basel) Article Currently, the online non-destructive testing (NDT) methods to measure the contact states of high-voltage circuit breakers (HVCBs) with SF(6) gas as a quenching medium are lacking. This paper aims to put forward a novel method to detect the contact state of an HVCB based on the vibrational signal. First, for a 40.5-kV SF(6) HVCB prototype, a mechanical vibration detection system along with a high-current generator to provide the test current is designed. Given this, vibration test experiments are carried out, and the vibration signal data under various currents and corresponding contact states are obtained. Afterward, a feature extraction method based on the frequency is designed. The state of the HVCB contacts is then determined using optimized deep neural networks (DNNs) along with the method of adaptive moment estimation (Adam) on the obtained experimental data. Finally, the hyperparameters for the DNNs are tuned using the Bayesian optimization (BO) technique, and a global HVCB contact state recognition model at various currents is proposed. The obtained results clearly depict that the proposed recognition model can accurately identify five various contact states of HVCBs for the currents between 1000 A and 3500 A, and the recognition accuracy rate is above 96%. The designed experimental and theoretical analysis in our study will provide the references for future monitoring and diagnosis of faults in HVCBs. MDPI 2022-11-04 /pmc/articles/PMC9657242/ /pubmed/36366185 http://dx.doi.org/10.3390/s22218490 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 Guo, Ze Li, Linjing Han, Weimeng Guo, Zixuan SF(6) High-Voltage Circuit Breaker Contact Status Detection at Different Currents |
title | SF(6) High-Voltage Circuit Breaker Contact Status Detection at Different Currents |
title_full | SF(6) High-Voltage Circuit Breaker Contact Status Detection at Different Currents |
title_fullStr | SF(6) High-Voltage Circuit Breaker Contact Status Detection at Different Currents |
title_full_unstemmed | SF(6) High-Voltage Circuit Breaker Contact Status Detection at Different Currents |
title_short | SF(6) High-Voltage Circuit Breaker Contact Status Detection at Different Currents |
title_sort | sf(6) high-voltage circuit breaker contact status detection at different currents |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657242/ https://www.ncbi.nlm.nih.gov/pubmed/36366185 http://dx.doi.org/10.3390/s22218490 |
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