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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...

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Detalles Bibliográficos
Autores principales: Guo, Ze, Li, Linjing, Han, Weimeng, Guo, Zixuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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