Defect monitoring in iron casting using residues of autoregressive models

Detalhes bibliográficos
Autor(a) principal: Casarin, Vanusa Andrea
Data de Publicação: 2013
Outros Autores: Souza, Adriano Mendonça, Spim, Jaime Alvares
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista GEINTEC: Gestão. Inovação e Tecnologias
Texto Completo: http://www.revistageintec.net/index.php/revista/article/view/111
Resumo: The purpose of this study is to monitor the index of general waste irons forecasting nodular and gray using the residues originated from the methodology Box & Jenkins by means of X-bar and R control charts. Search is to find a general class of model ARIMA (p, d, q) but as data have autocorrelation is found to the number of residues which allowed the application of charts. The found model was the model SARIMA (0,1,1)(0,1,1. In step of checking the stability of the model was found that some comments are out of control due to temperature and chemical composition.
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spelling Defect monitoring in iron casting using residues of autoregressive modelsThe purpose of this study is to monitor the index of general waste irons forecasting nodular and gray using the residues originated from the methodology Box & Jenkins by means of X-bar and R control charts. Search is to find a general class of model ARIMA (p, d, q) but as data have autocorrelation is found to the number of residues which allowed the application of charts. The found model was the model SARIMA (0,1,1)(0,1,1. In step of checking the stability of the model was found that some comments are out of control due to temperature and chemical composition.API - Associação Acadêmica de Propriedade IntelectualCasarin, Vanusa AndreaSouza, Adriano MendonçaSpim, Jaime Alvares2013-06-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionNÃO ESTÁ ATIVAapplication/pdfhttp://www.revistageintec.net/index.php/revista/article/view/11110.7198/geintec.v3i2.111Revista GEINTEC - Gestão, Inovação e Tecnologias; v. 3, n. 2 (2013); 227-2382237-0722reponame:Revista GEINTEC: Gestão. Inovação e Tecnologiasinstname:Ensino Superior do Piauí (AESPI)instacron:AESPIporhttp://www.revistageintec.net/index.php/revista/article/view/111/205info:eu-repo/semantics/openAccess2019-10-06T00:04:47Zoai:ojs.pkp.sfu.ca:article/111Revistahttp://www.revistageintec.net/index.php/revista/oai2237-07222237-0722opendoar:null2020-06-25 22:42:55.601Revista GEINTEC: Gestão. Inovação e Tecnologias - Ensino Superior do Piauí (AESPI)true
dc.title.none.fl_str_mv Defect monitoring in iron casting using residues of autoregressive models
title Defect monitoring in iron casting using residues of autoregressive models
spellingShingle Defect monitoring in iron casting using residues of autoregressive models
Casarin, Vanusa Andrea
title_short Defect monitoring in iron casting using residues of autoregressive models
title_full Defect monitoring in iron casting using residues of autoregressive models
title_fullStr Defect monitoring in iron casting using residues of autoregressive models
title_full_unstemmed Defect monitoring in iron casting using residues of autoregressive models
title_sort Defect monitoring in iron casting using residues of autoregressive models
author Casarin, Vanusa Andrea
author_facet Casarin, Vanusa Andrea
Souza, Adriano Mendonça
Spim, Jaime Alvares
author_role author
author2 Souza, Adriano Mendonça
Spim, Jaime Alvares
author2_role author
author
dc.contributor.none.fl_str_mv
dc.contributor.author.fl_str_mv Casarin, Vanusa Andrea
Souza, Adriano Mendonça
Spim, Jaime Alvares
dc.subject.none.fl_str_mv
dc.description.none.fl_txt_mv The purpose of this study is to monitor the index of general waste irons forecasting nodular and gray using the residues originated from the methodology Box & Jenkins by means of X-bar and R control charts. Search is to find a general class of model ARIMA (p, d, q) but as data have autocorrelation is found to the number of residues which allowed the application of charts. The found model was the model SARIMA (0,1,1)(0,1,1. In step of checking the stability of the model was found that some comments are out of control due to temperature and chemical composition.
description The purpose of this study is to monitor the index of general waste irons forecasting nodular and gray using the residues originated from the methodology Box & Jenkins by means of X-bar and R control charts. Search is to find a general class of model ARIMA (p, d, q) but as data have autocorrelation is found to the number of residues which allowed the application of charts. The found model was the model SARIMA (0,1,1)(0,1,1. In step of checking the stability of the model was found that some comments are out of control due to temperature and chemical composition.
publishDate 2013
dc.date.none.fl_str_mv 2013-06-24
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
NÃO ESTÁ ATIVA
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.revistageintec.net/index.php/revista/article/view/111
10.7198/geintec.v3i2.111
url http://www.revistageintec.net/index.php/revista/article/view/111
identifier_str_mv 10.7198/geintec.v3i2.111
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv http://www.revistageintec.net/index.php/revista/article/view/111/205
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv API - Associação Acadêmica de Propriedade Intelectual
publisher.none.fl_str_mv API - Associação Acadêmica de Propriedade Intelectual
dc.source.none.fl_str_mv Revista GEINTEC - Gestão, Inovação e Tecnologias; v. 3, n. 2 (2013); 227-238
2237-0722
reponame:Revista GEINTEC: Gestão. Inovação e Tecnologias
instname:Ensino Superior do Piauí (AESPI)
instacron:AESPI
reponame_str Revista GEINTEC: Gestão. Inovação e Tecnologias
collection Revista GEINTEC: Gestão. Inovação e Tecnologias
instname_str Ensino Superior do Piauí (AESPI)
instacron_str AESPI
institution AESPI
repository.name.fl_str_mv Revista GEINTEC: Gestão. Inovação e Tecnologias - Ensino Superior do Piauí (AESPI)
repository.mail.fl_str_mv
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