DEFECT MONITORING IN IRON CASTING USING RESIDUES OF AUTOREGRESSIVE MODELS

DEFECT MONITORING IN IRON CASTING USING RESIDUES OF AUTOREGRESSIVE MODELS

<span style="font-family: Times New Roman; font-size: small;"> </span><p style="margin: 0cm 0cm 0pt; text-align: justify;" class="MsoNormal"><em style="mso-bidi-font-style: normal;"><span lang="EN-US" style="mso-ansi-l...

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Main Authors: Vanusa Andrea Casarin, Adriano Mendonça Souza, Jaime Alvares Spim
Format: Article
Language:Portuguese
Published: Associação Acadêmica de Propriedade Intelectual 2013-06-01
Series:Revista GEINTEC
Online Access:http://www.revistageintec.net/portal/index.php/revista/article/view/111
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spelling doaj-187c132342444f928a84b89f049971482020-11-24T20:41:23ZporAssociação Acadêmica de Propriedade IntelectualRevista GEINTEC2237-07222013-06-013222723810.7198/geintec.v3i2.111195DEFECT MONITORING IN IRON CASTING USING RESIDUES OF AUTOREGRESSIVE MODELSVanusa Andrea Casarin0Adriano Mendonça Souza1Jaime Alvares Spim2Universidade Regional Integrada do Alto Uruguai e das Missões - URI Campus de Santo ÂngeloDepartment of Statistics, Department of Industrial Engineering (UFSM), Santa Maria, RSSchool of Engineering, Technology Center (UFRGS), Porto Alegre, RS<span style="font-family: Times New Roman; font-size: small;"> </span><p style="margin: 0cm 0cm 0pt; text-align: justify;" class="MsoNormal"><em style="mso-bidi-font-style: normal;"><span lang="EN-US" style="mso-ansi-language: EN-US;"><span style="font-size: small;"><span style="font-family: Times New Roman;">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 &amp; 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<span style="top: 6pt; position: relative; mso-text-raise: -6.0pt;"> </span>.<strong style="mso-bidi-font-weight: normal;"> </strong>In step of checking the stability of the model was found that some comments are out of control due to temperature and chemical composition.</span></span></span></em></p><span style="font-family: Times New Roman; font-size: small;"> </span>http://www.revistageintec.net/portal/index.php/revista/article/view/111
collection DOAJ
language Portuguese
format Article
sources DOAJ
author Vanusa Andrea Casarin
Adriano Mendonça Souza
Jaime Alvares Spim
spellingShingle Vanusa Andrea Casarin
Adriano Mendonça Souza
Jaime Alvares Spim
DEFECT MONITORING IN IRON CASTING USING RESIDUES OF AUTOREGRESSIVE MODELS
Revista GEINTEC
author_facet Vanusa Andrea Casarin
Adriano Mendonça Souza
Jaime Alvares Spim
author_sort Vanusa Andrea Casarin
title DEFECT MONITORING IN IRON CASTING USING RESIDUES OF AUTOREGRESSIVE MODELS
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
publisher Associação Acadêmica de Propriedade Intelectual
series Revista GEINTEC
issn 2237-0722
publishDate 2013-06-01
description <span style="font-family: Times New Roman; font-size: small;"> </span><p style="margin: 0cm 0cm 0pt; text-align: justify;" class="MsoNormal"><em style="mso-bidi-font-style: normal;"><span lang="EN-US" style="mso-ansi-language: EN-US;"><span style="font-size: small;"><span style="font-family: Times New Roman;">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 &amp; 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<span style="top: 6pt; position: relative; mso-text-raise: -6.0pt;"> </span>.<strong style="mso-bidi-font-weight: normal;"> </strong>In step of checking the stability of the model was found that some comments are out of control due to temperature and chemical composition.</span></span></span></em></p><span style="font-family: Times New Roman; font-size: small;"> </span>
url http://www.revistageintec.net/portal/index.php/revista/article/view/111
work_keys_str_mv AT vanusaandreacasarin defectmonitoringinironcastingusingresiduesofautoregressivemodels
AT adrianomendoncasouza defectmonitoringinironcastingusingresiduesofautoregressivemodels
AT jaimealvaresspim defectmonitoringinironcastingusingresiduesofautoregressivemodels
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