A simple pattern recognition-based method for Power Quality disturbance detection

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorLima, Robson Rosserrani de-
Autor(es): dc.creatorFerreira, Danton Diego-
Autor(es): dc.creatorSeixas, José Manoel de-
Autor(es): dc.creatorPaiva, Leonardo Silveira-
Data de aceite: dc.date.accessioned2026-02-09T12:13:59Z-
Data de disponibilização: dc.date.available2026-02-09T12:13:59Z-
Data de envio: dc.date.issued2022-04-12-
Data de envio: dc.date.issued2022-04-12-
Data de envio: dc.date.issued2021-04-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/49742-
Fonte completa do material: dc.identifierhttps://doi.org/10.31422/taae.v5i3.36-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1157149-
Descrição: dc.descriptionVoltage disturbances are the most frequent cause of a large range of disruption in industrial, commercial, and residential power supply systems. These disturbances are often referred to as power quality problems and affect the Power Systems causing substantial losses. To avoid the storage of a large amount of data, the first task in monitoring the power quality is the realtime detection of disturbances, which must be performed by an accurate and low-complexity system. This paper proposes a low-complexity system for power quality disturbance detection. The method makes innovative use of simple features extracted from reduced segments of the monitored voltage waveform. The extract features (the mean value, variance, energy, and the maximum and minimum values of the filtered voltage signals) require low computational effort and allow a considerable dimensional reduction of the signals, leading to simple detection algorithms. The proposed method achieves high detection rates on both simulated and real signals.-
Idioma: dc.languageen-
Publicador: dc.publisherUniversidade Federal de Lavras-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceTheoretical and Applied Engineering-
Palavras-chave: dc.subjectMultilayer Perceptron (MLP)-
Palavras-chave: dc.subjectNaïve-Bayes-
Palavras-chave: dc.subjectComputational Intelligence-
Palavras-chave: dc.subjectInteligência computacional-
Título: dc.titleA simple pattern recognition-based method for Power Quality disturbance detection-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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