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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Associação Acadêmica de Propriedade Intelectual
2013-06-01
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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 & 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 & 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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1716825292031393792 |