Fault Classification in Power Distribution Systems Using Multiresolution Analysis and a Fuzzy-ARTMAP Neural NetworkAnalysis and a Fuzzy-ARTMAP Neural Network

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Autor(es): dc.contributorCiencia e Tecnologia de Sao Paulo-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorBernardes, Haislan-
Autor(es): dc.creatorTonelli-Neto, Mauro-
Autor(es): dc.creatorMinussi, Carlos Roberto-
Data de aceite: dc.date.accessioned2025-08-21T18:21:18Z-
Data de disponibilização: dc.date.available2025-08-21T18:21:18Z-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2021-10-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/TLA.2021.9475615-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/233372-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/233372-
Descrição: dc.descriptionThis paper presents a tool for the detection and classification of short-circuits in electric power distribution systems, which is based on the combined use of multi-resolution analysis and Fuzzy-ARTMAP neural network. The multiresolution analysis allows the identification of singularities in the waveforms and the ART family network guarantees to the classifier the ability to continuously learn without losing the previously acquired knowledge. The entire diagnosis procedure is performed in a single step, reducing the computational effort. The efficiency of the system is verified by a direct accuracy analysis, and by a comparison between the Fuzzy-ARTMAP and the EuclideanARTMAP. Results show that the system is efficient and robust, being able to detect and classify 100% of the electrical faults considering the test that were performed.-
Descrição: dc.descriptionInstituto Federal de Educacao Ciencia e Tecnologia de Sao Paulo, Sao Paulo-
Descrição: dc.descriptionUniversidade Estadual Paulista, Sao Paulo-
Descrição: dc.descriptionUniversidade Estadual Paulista, Sao Paulo-
Formato: dc.format1824-1831-
Idioma: dc.languagept_BR-
Relação: dc.relationIEEE Latin America Transactions-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectElectric Distribution System-
Palavras-chave: dc.subjectFault Classification-
Palavras-chave: dc.subjectFault Detection-
Palavras-chave: dc.subjectFuzzy-ARTMAP-
Palavras-chave: dc.subjectIntelligent Systems-
Palavras-chave: dc.subjectMultiresolution Analysis-
Título: dc.titleFault Classification in Power Distribution Systems Using Multiresolution Analysis and a Fuzzy-ARTMAP Neural NetworkAnalysis and a Fuzzy-ARTMAP Neural Network-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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