Classification of multiple and single power quality disturbances using a decision tree-based approach

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorBarbosa, Bruno Henrique Groenner-
Autor(es): dc.creatorFerreira, Danton Diego-
Data de aceite: dc.date.accessioned2026-02-09T11:11:27Z-
Data de disponibilização: dc.date.available2026-02-09T11:11:27Z-
Data de envio: dc.date.issued2017-06-06-
Data de envio: dc.date.issued2017-06-06-
Data de envio: dc.date.issued2013-10-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/13177-
Fonte completa do material: dc.identifierhttps://link.springer.com/article/10.1007/s40313-013-0061-y-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1135614-
Descrição: dc.descriptionThis paper presents a new approach for power quality (PQ) disturbance classification. In order to classify both single and multiple disturbances, the principle of divide-and-conquer is employed and a tree structure is constructed by means of simple classifiers: Perceptrons and a Bayesian classifier. Aiming at reducing its computational cost, only six parameters extracted from the filtered electrical signal are used by the final classifier. Such parameters are the second-order cumulants and the RMS value. Results show that the proposed approach can classify many types of PQ disturbances with good accuracy even for different values of signal-to-noise ratio and for real data.-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceJournal of Control, Automation and Electrical Systems-
Palavras-chave: dc.subjectPower quality-
Palavras-chave: dc.subjectDecision tree-
Palavras-chave: dc.subjectPower disturbances-
Palavras-chave: dc.subjectEnergia - Qualidade-
Palavras-chave: dc.subjectÁrvore de decisão-
Palavras-chave: dc.subjectDistúrbios de energia-
Título: dc.titleClassification of multiple and single power quality disturbances using a decision tree-based approach-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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