Assessment of Partial Discharges Evolution in Bushing by Infrared Analysis †

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dc.contributor.authorde Castro, Bruno Albuquerque [UNESP]
dc.contributor.authorLucas, Guilherme Beraldi [UNESP]
dc.contributor.authorFernandes, Gabriel Scota [UNESP]
dc.contributor.authorFraga, José Renato Castro Pompéia [UNESP]
dc.contributor.authorRiehl, Rudolf Ribeiro [UNESP]
dc.contributor.authorAndreoli, André Luiz [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2023-07-29T15:14:16Z
dc.date.available2023-07-29T15:14:16Z
dc.date.issued2021-01-01
dc.description.abstractThe 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.en
dc.description.affiliationDepartment of Electrical Engineering School of Engineering São Paulo State University (UNESP), SP
dc.description.affiliationUnespDepartment of Electrical Engineering School of Engineering São Paulo State University (UNESP), SP
dc.identifierhttp://dx.doi.org/10.3390/ecsa-8-11253
dc.identifier.citationEngineering Proceedings, v. 10, n. 1, 2021.
dc.identifier.doi10.3390/ecsa-8-11253
dc.identifier.issn2673-4591
dc.identifier.scopus2-s2.0-85141839778
dc.identifier.urihttp://hdl.handle.net/11449/249372
dc.language.isoeng
dc.relation.ispartofEngineering Proceedings
dc.sourceScopus
dc.subjectbushing
dc.subjectinfrared sensors
dc.subjectinsulation systems
dc.subjectmonitoring systems
dc.subjectpartial discharges
dc.titleAssessment of Partial Discharges Evolution in Bushing by Infrared Analysis †en
dc.typeArtigo
unesp.author.orcid0000-0003-4581-1459[1]
unesp.author.orcid0000-0002-7674-8969[2]
unesp.author.orcid0000-0002-3415-9410[3]
unesp.author.orcid0000-0001-8593-3982[4]
unesp.author.orcid0000-0001-8187-8795[5]
unesp.author.orcid0000-0002-7271-397X[6]
unesp.departmentEngenharia Elétrica - FEBpt

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