Assessment of Partial Discharges Evolution in Bushing by Infrared Analysis †
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/ecsa-8-11253 http://hdl.handle.net/11449/249372 |
Resumo: | The quality of power systems is related to their capability to predict failures, avoid stoppages, and increase the lifetime of their components. Therefore, science has been developing monitoring systems to identify failures in induction motors, transformers, and transmission lines. In this context, one of the most crucial components of the electrical systems is the insulation devices such as bushings, which are constantly subjected to dust, thermal stresses, moisture, etc. These conditions promote insulation deterioration, leading to the occurrence of partial discharges. Partial discharges are localized dielectric breakdown that emits ultra-violet radiation, heat, electromagnet, and acoustics waves. The most traditional techniques to identify these flaws on bushings are based on the current, ultra high frequency, and acoustic emission analysis. However, thermal analysis stands out as a noise-resistant technique to monitor several components in the power systems. Although the thermal method is applied to detect different types of faults, such as bad contacts, overloads, etc, this technique has not been previously applied to perform partial discharge detection and evaluate its evolution on bushings. Based on this issue, this article proposes two new indexes to characterize the discharge evolution based on the infrared thermal analysis: the area ratio coefficient and the Red, Green, and Blue (RGB) ratio coefficient. Seven discharge levels were induced in a contaminated bushing, and an infrared thermal camera captured 20 images per condition, totalizing 140 images. New coefficients were used to perform the identification of discharge evolution. Results indicated that values of the new indexes increase with the partial discharge activity. Thus, the new imaging processing approach can be a promising contribution to literature, improving the reliability and maintenance planning for power transmission systems. |
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Assessment of Partial Discharges Evolution in Bushing by Infrared Analysis †bushinginfrared sensorsinsulation systemsmonitoring systemspartial dischargesThe quality of power systems is related to their capability to predict failures, avoid stoppages, and increase the lifetime of their components. Therefore, science has been developing monitoring systems to identify failures in induction motors, transformers, and transmission lines. In this context, one of the most crucial components of the electrical systems is the insulation devices such as bushings, which are constantly subjected to dust, thermal stresses, moisture, etc. These conditions promote insulation deterioration, leading to the occurrence of partial discharges. Partial discharges are localized dielectric breakdown that emits ultra-violet radiation, heat, electromagnet, and acoustics waves. The most traditional techniques to identify these flaws on bushings are based on the current, ultra high frequency, and acoustic emission analysis. However, thermal analysis stands out as a noise-resistant technique to monitor several components in the power systems. Although the thermal method is applied to detect different types of faults, such as bad contacts, overloads, etc, this technique has not been previously applied to perform partial discharge detection and evaluate its evolution on bushings. Based on this issue, this article proposes two new indexes to characterize the discharge evolution based on the infrared thermal analysis: the area ratio coefficient and the Red, Green, and Blue (RGB) ratio coefficient. Seven discharge levels were induced in a contaminated bushing, and an infrared thermal camera captured 20 images per condition, totalizing 140 images. New coefficients were used to perform the identification of discharge evolution. Results indicated that values of the new indexes increase with the partial discharge activity. Thus, the new imaging processing approach can be a promising contribution to literature, improving the reliability and maintenance planning for power transmission systems.Department of Electrical Engineering School of Engineering São Paulo State University (UNESP), SPDepartment of Electrical Engineering School of Engineering São Paulo State University (UNESP), SPUniversidade Estadual Paulista (UNESP)de Castro, Bruno Albuquerque [UNESP]Lucas, Guilherme Beraldi [UNESP]Fernandes, Gabriel Scota [UNESP]Fraga, José Renato Castro Pompéia [UNESP]Riehl, Rudolf Ribeiro [UNESP]Andreoli, André Luiz [UNESP]2023-07-29T15:14:16Z2023-07-29T15:14:16Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/ecsa-8-11253Engineering Proceedings, v. 10, n. 1, 2021.2673-4591http://hdl.handle.net/11449/24937210.3390/ecsa-8-112532-s2.0-85141839778Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEngineering Proceedingsinfo:eu-repo/semantics/openAccess2024-06-28T13:34:08Zoai:repositorio.unesp.br:11449/249372Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:50:18.458144Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Assessment of Partial Discharges Evolution in Bushing by Infrared Analysis † |
title |
Assessment of Partial Discharges Evolution in Bushing by Infrared Analysis † |
spellingShingle |
Assessment of Partial Discharges Evolution in Bushing by Infrared Analysis † de Castro, Bruno Albuquerque [UNESP] bushing infrared sensors insulation systems monitoring systems partial discharges |
title_short |
Assessment of Partial Discharges Evolution in Bushing by Infrared Analysis † |
title_full |
Assessment of Partial Discharges Evolution in Bushing by Infrared Analysis † |
title_fullStr |
Assessment of Partial Discharges Evolution in Bushing by Infrared Analysis † |
title_full_unstemmed |
Assessment of Partial Discharges Evolution in Bushing by Infrared Analysis † |
title_sort |
Assessment of Partial Discharges Evolution in Bushing by Infrared Analysis † |
author |
de Castro, Bruno Albuquerque [UNESP] |
author_facet |
de Castro, Bruno Albuquerque [UNESP] Lucas, Guilherme Beraldi [UNESP] Fernandes, Gabriel Scota [UNESP] Fraga, José Renato Castro Pompéia [UNESP] Riehl, Rudolf Ribeiro [UNESP] Andreoli, André Luiz [UNESP] |
author_role |
author |
author2 |
Lucas, Guilherme Beraldi [UNESP] Fernandes, Gabriel Scota [UNESP] Fraga, José Renato Castro Pompéia [UNESP] Riehl, Rudolf Ribeiro [UNESP] Andreoli, André Luiz [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
de Castro, Bruno Albuquerque [UNESP] Lucas, Guilherme Beraldi [UNESP] Fernandes, Gabriel Scota [UNESP] Fraga, José Renato Castro Pompéia [UNESP] Riehl, Rudolf Ribeiro [UNESP] Andreoli, André Luiz [UNESP] |
dc.subject.por.fl_str_mv |
bushing infrared sensors insulation systems monitoring systems partial discharges |
topic |
bushing infrared sensors insulation systems monitoring systems partial discharges |
description |
The quality of power systems is related to their capability to predict failures, avoid stoppages, and increase the lifetime of their components. Therefore, science has been developing monitoring systems to identify failures in induction motors, transformers, and transmission lines. In this context, one of the most crucial components of the electrical systems is the insulation devices such as bushings, which are constantly subjected to dust, thermal stresses, moisture, etc. These conditions promote insulation deterioration, leading to the occurrence of partial discharges. Partial discharges are localized dielectric breakdown that emits ultra-violet radiation, heat, electromagnet, and acoustics waves. The most traditional techniques to identify these flaws on bushings are based on the current, ultra high frequency, and acoustic emission analysis. However, thermal analysis stands out as a noise-resistant technique to monitor several components in the power systems. Although the thermal method is applied to detect different types of faults, such as bad contacts, overloads, etc, this technique has not been previously applied to perform partial discharge detection and evaluate its evolution on bushings. Based on this issue, this article proposes two new indexes to characterize the discharge evolution based on the infrared thermal analysis: the area ratio coefficient and the Red, Green, and Blue (RGB) ratio coefficient. Seven discharge levels were induced in a contaminated bushing, and an infrared thermal camera captured 20 images per condition, totalizing 140 images. New coefficients were used to perform the identification of discharge evolution. Results indicated that values of the new indexes increase with the partial discharge activity. Thus, the new imaging processing approach can be a promising contribution to literature, improving the reliability and maintenance planning for power transmission systems. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 2023-07-29T15:14:16Z 2023-07-29T15:14:16Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3390/ecsa-8-11253 Engineering Proceedings, v. 10, n. 1, 2021. 2673-4591 http://hdl.handle.net/11449/249372 10.3390/ecsa-8-11253 2-s2.0-85141839778 |
url |
http://dx.doi.org/10.3390/ecsa-8-11253 http://hdl.handle.net/11449/249372 |
identifier_str_mv |
Engineering Proceedings, v. 10, n. 1, 2021. 2673-4591 10.3390/ecsa-8-11253 2-s2.0-85141839778 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Engineering Proceedings |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128281766002688 |