{"id":441,"date":"2016-07-16T17:49:52","date_gmt":"2016-07-16T20:49:52","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=441"},"modified":"2016-07-16T17:49:52","modified_gmt":"2016-07-16T20:49:52","slug":"vol7-no1-art2","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol7-no1\/vol7-no1-art2\/","title":{"rendered":"Rede Neural ARTMAP-FUZZY e Transformada Wavelet para Detec\u00e7\u00e3o e Classifica\u00e7\u00e3o de Dist\u00farbios de Tens\u00e3o em Sistemas de Energia El\u00e9trica"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> Rede Neural ARTMAP-FUZZY e Transformada Wavelet para Detec\u00e7\u00e3o e Classifica\u00e7\u00e3o de Dist\u00farbios de Tens\u00e3o em Sistemas de Energia El\u00e9trica<\/p>\n<p><strong>Autores:<\/strong> Malange, Fernando C. V.; Minussi, Carlos R.<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> Muitos esfor\u00e7os t\u00eam sido despendidos para tentar sanar problemas relacionados com Qualidade da Energia El\u00e9trica, principalmente na automa\u00e7\u00e3o de processos e desenvolvimento de equipamentos de monitora\u00e7\u00e3o que possibilitem maior desempenho e confiabilidade a todo o sistema el\u00e9trico. Este artigo apresenta um sistema identificador\/classificador autom\u00e1tico de dist\u00farbios chamado de rede neural Wavelet-ARTMAP-Fuzzy. A estrutura dessa b\u00e1sica rede neural \u00e9 composta por tr\u00eas m\u00f3dulos: o m\u00f3dulo de detec\u00e7\u00e3o de anomalias (dist\u00farbios), o m\u00f3dulo de extra\u00e7\u00e3o de caracter\u00edsticas onde as formas de onda s\u00e3o analisadas atrav\u00e9s do c\u00e1lculo da Transformada Wavelet Discreta, An\u00e1lise Multirresolu\u00e7\u00e3o e Norma Entropia e o m\u00f3dulo de classifica\u00e7\u00e3o de dist\u00farbios que conta com uma rede neural ARTMAP Fuzzy que indica qual o tipo de anomalia do sinal. Nesse estudo, foram considerados sete tipos de sinais el\u00e9tricos, gerados a partir de modelos matem\u00e1ticos, totalizando 2.800 formas de onda. Dessa forma, o desempenho da rede na detec\u00e7\u00e3o e classifica\u00e7\u00e3o correta dos tipos de dist\u00farbios el\u00e9tricos foi de 100%, al\u00e9m da forma robusta e grande rapidez na obten\u00e7\u00e3o dos resultados, possibilitando sua aplica\u00e7\u00e3o em tempo real. <\/p>\n<p><strong>Palavras-chave:<\/strong> Sistemas El\u00e9tricos de Pot\u00eancia; Detec\u00e7\u00e3o e Classifica\u00e7\u00e3o de Dist\u00farbios de tens\u00e3o; Transformada Wavelet; Norma Entropia; Rede Neural ARTMAP Fuzzy<\/p>\n<p><strong>P\u00e1ginas:<\/strong> 10<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol7-no1-art2\">10.21528\/lmln-vol7-no1-art2<\/a><\/p>\n<p><strong>Artigo em PDF:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol7-no1-art2.pdf\" rel=\"\">vol7-no1-art2.pdf<\/a><\/p>\n<p><strong>Arquivo BibTex:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol7-no1-art2.bib\" rel=\"\">vol7-no1-art2.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: Rede Neural ARTMAP-FUZZY e Transformada Wavelet para Detec\u00e7\u00e3o e Classifica\u00e7\u00e3o de Dist\u00farbios de Tens\u00e3o em Sistemas de Energia El\u00e9trica Autores: Malange, Fernando C. V.; Minussi, Carlos R. Resumo: Muitos esfor\u00e7os t\u00eam sido despendidos para tentar sanar problemas relacionados com <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol7-no1\/vol7-no1-art2\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":435,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-441","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Rede Neural ARTMAP-FUZZY e Transformada Wavelet para Detec\u00e7\u00e3o e Classifica\u00e7\u00e3o de Dist\u00farbios de Tens\u00e3o em Sistemas de Energia El\u00e9trica - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol7-no1\/vol7-no1-art2\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Rede Neural ARTMAP-FUZZY e Transformada Wavelet para Detec\u00e7\u00e3o e Classifica\u00e7\u00e3o de Dist\u00farbios de Tens\u00e3o em Sistemas de Energia El\u00e9trica - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: Rede Neural ARTMAP-FUZZY e Transformada Wavelet para Detec\u00e7\u00e3o e Classifica\u00e7\u00e3o de Dist\u00farbios de Tens\u00e3o em Sistemas de Energia El\u00e9trica Autores: Malange, Fernando C. 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