Separation techniques of partial discharges and electrical noise sources: A review of recent progress

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dc.contributor.authorArdila-Rey, Jorge Alfredo
dc.contributor.authorCerda-Luna, Matías Patricio
dc.contributor.authorRozas-Valderrama, Rodrigo Andrés
dc.contributor.authorDe Castro, Bruno Albuquerque [UNESP]
dc.contributor.authorAndreoli, André Luiz [UNESP]
dc.contributor.authorMuhammad-Sukki, Firdaus
dc.contributor.institutionUniversidad Técnica Federico Santa María
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionRobert Gordon University
dc.date.accessioned2021-06-25T10:55:54Z
dc.date.available2021-06-25T10:55:54Z
dc.date.issued2020-01-01
dc.description.abstractPartial discharge (PD) monitoring is one of the most used tools for diagnosing the condition of electrical equipment and machines that operate normally at high voltage levels. Ideally, PD identification can be easily done if there is a single source acting over the electrical asset during the measurement. However, in industrial environments, it is common to find the presence of multiple sources acting simultaneously, which hinders the identification process, due to sources of greater amplitude hiding the presence of other types of sources of lesser amplitude that could eventually be much more harmful to the insulation system. In this sense, the separation of PD through the use of clustering techniques allows individual source recognition once they have been clearly separated. This article describes the main clustering techniques that have been used over time to separate PD sources and electrical noise. The results obtained by the different authors in the utilization of each technique demonstrates good performance in terms of separation.en
dc.description.affiliationDepartamento de Ingeniería Eléctrica Universidad Técnica Federico Santa María
dc.description.affiliationDepartment of Electrical Engineering Bauru School of Engineering São Paulo State University (UNESP)
dc.description.affiliationSchool of Engineering Robert Gordon University
dc.description.affiliationUnespDepartment of Electrical Engineering Bauru School of Engineering São Paulo State University (UNESP)
dc.format.extent199449-199461
dc.identifierhttp://dx.doi.org/10.1109/ACCESS.2020.3035249
dc.identifier.citationIEEE Access, v. 8, p. 199449-199461.
dc.identifier.doi10.1109/ACCESS.2020.3035249
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85102826184
dc.identifier.urihttp://hdl.handle.net/11449/207479
dc.language.isoeng
dc.relation.ispartofIEEE Access
dc.sourceScopus
dc.subjectNoise sources
dc.subjectPartial discharges
dc.subjectProgress
dc.subjectReview
dc.subjectSeparation techniques
dc.titleSeparation techniques of partial discharges and electrical noise sources: A review of recent progressen
dc.typeArtigo

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