{"id":624,"date":"2016-07-18T18:34:55","date_gmt":"2016-07-18T21:34:55","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=624"},"modified":"2016-07-18T18:34:55","modified_gmt":"2016-07-18T21:34:55","slug":"vol10-no4-art2","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/vol10-no4-art2\/","title":{"rendered":"GMDH and Artificial Neural Network Applied in an Experimental Reactor Sensors Monitoring"},"content":{"rendered":"

T\u00edtulo:<\/strong> GMDH and Artificial Neural Network Applied in an Experimental Reactor Sensors Monitoring<\/p>\n

Autores:<\/strong> Bueno, Elaine Inacio; Pereira, Iraci Martinez; Silva, Antonio Teixeira e<\/p>\n

Resumo:<\/strong> In this work a Monitoring System was developed using GMDH (Group Method of Data Handling) algorithm and Artificial Neural Networks (ANN) which was applied in the IEA-R1 research reactor at IPEN. GMDH is used in two different ways to perform an input data preprocessing to the ANN. The system perform the monitoring by comparing the estimative calculated values with the measured ones. Each Monitoring System was developed and tested for five different sets of input data, ancluding data from a Reactor Teoretical Model and for four different sets of reactor variables. The results for the most of cases show an improvement when GMDH is combined with ANN algorithm in the Monitoring Systems. The good results obtained in the present work show the viability of using GMDH algorithm in the study of the best input variables to the ANN, thus making possible the use of these methods in the implementation of a new Monitoring Methodology applied in sensors of a nuclear power plant.<\/p>\n

Palavras-chave:<\/strong> ANN; GMDH; experimental reactor; input selection; monitoring system<\/p>\n

P\u00e1ginas:<\/strong> 11<\/p>\n

C\u00f3digo DOI:<\/strong> 10.21528\/lmln-vol10-no4-art2<\/a><\/p>\n

Artigo em PDF:<\/strong> vol10-no4-art2.pdf<\/a><\/p>\n

Arquivo BibTex:<\/strong> vol10-no4-art2.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

T\u00edtulo: GMDH and Artificial Neural Network Applied in an Experimental Reactor Sensors Monitoring Autores: Bueno, Elaine Inacio; Pereira, Iraci Martinez; Silva, Antonio Teixeira e Resumo: In this work a Monitoring System was developed using GMDH (Group Method of Data Handling) Read More …<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":620,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-624","page","type-page","status-publish","hentry"],"yoast_head":"\nGMDH and Artificial Neural Network Applied in an Experimental Reactor Sensors Monitoring - 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\/vol10-no4\/vol10-no4-art2\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GMDH and Artificial Neural Network Applied in an Experimental Reactor Sensors Monitoring - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: GMDH and Artificial Neural Network Applied in an Experimental Reactor Sensors Monitoring Autores: Bueno, Elaine Inacio; Pereira, Iraci Martinez; Silva, Antonio Teixeira e Resumo: In this work a Monitoring System was developed using GMDH (Group Method of Data Handling) Read More ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/vol10-no4-art2\/\" \/>\n<meta property=\"og:site_name\" content=\"Learning and NonLinear Models\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minuto\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/vol10-no4-art2\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/vol10-no4-art2\/\",\"name\":\"GMDH and Artificial Neural Network Applied in an Experimental Reactor Sensors Monitoring - Learning and NonLinear Models\",\"isPartOf\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\"},\"datePublished\":\"2016-07-18T21:34:55+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/vol10-no4-art2\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/vol10-no4-art2\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/vol10-no4-art2\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Browse issues\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Learning & Nonlinear Models – L&NLM – Volume 10 – N\u00famero 4\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"GMDH and Artificial Neural Network Applied in an Experimental Reactor Sensors Monitoring\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"name\":\"Learning and NonLinear Models\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/sbia.org.br\/lnlm\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pt-BR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\",\"name\":\"Learning and NonLinear Models\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"contentUrl\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"width\":398,\"height\":94,\"caption\":\"Learning and NonLinear Models\"},\"image\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"GMDH and Artificial Neural Network Applied in an Experimental Reactor Sensors Monitoring - Learning and NonLinear Models","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/vol10-no4-art2\/","og_locale":"pt_BR","og_type":"article","og_title":"GMDH and Artificial Neural Network Applied in an Experimental Reactor Sensors Monitoring - Learning and NonLinear Models","og_description":"T\u00edtulo: GMDH and Artificial Neural Network Applied in an Experimental Reactor Sensors Monitoring Autores: Bueno, Elaine Inacio; 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