This assessment of impairment in drivers of carbon steel through intelligent system

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This paper describes the development of an intelligent integrated system comprised of a fuzzy logic architecture developed from descriptive statistics and an artificial neural network Fuzzy ArtMap applied in pattern recognition with digital image processing. The studied patterns are from the microst...

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Detalles Bibliográficos
Autores: Ruelas Santoyo, Edgar Augusto, Vargas Rodríguez, Bertha Laura, Sánchez Márquez, Juan Antonio
Formato: artículo
Fecha de Publicación:2015
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/12103
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12103
Nivel de acceso:acceso abierto
Materia:artificial neural network (ANN)
digital image processing
fuzzy logic and materials
lógica difusa y materiales
procesamiento digital de imágenes
red neuronal artificial (RNA)
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network_name_str Revistas - Universidad Nacional Mayor de San Marcos
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spelling This assessment of impairment in drivers of carbon steel through intelligent systemEvaluación del deterioro presente en conductores de acero al carbón mediante un sistema inteligenteRuelas Santoyo, Edgar AugustoVargas Rodríguez, Bertha LauraSánchez Márquez, Juan Antonioartificial neural network (ANN)digital image processingfuzzy logic and materialslógica difusa y materialesprocesamiento digital de imágenesred neuronal artificial (RNA)This paper describes the development of an intelligent integrated system comprised of a fuzzy logic architecture developed from descriptive statistics and an artificial neural network Fuzzy ArtMap applied in pattern recognition with digital image processing. The studied patterns are from the microstructure of carbon steel SA 210 Grade A-1. The purpose is to estimate the damage present in the material from the determination of the physical state of the material. Studied patterns in the microstructure of the material were: pearlite lamellar, spheronization and graphitization. The results showed that the damage estimation and pattern recognition in the material were correctly predicted with the developed system compared to the human expert.Este artículo describe la aplicación de la integración entre un sistema de lógica difusa y una red neuronal artificial Fuzzy ArtMap además del procesamiento digital de imágenes, con el objetivo de reconocer patrones en la microestructura de los materiales de acero al carbón SA 210 Grado A-1, además de estimar el daño presente en el material a partir de imágenes que presentan diversos estados físicos del mismo material. Los patrones estudiados en la microestructura del material SA 210 Grado A-1 son: perlita laminar, esferoidización y grafitización. Los resultados obtenidos muestran que la estimación del daño y el reconocimiento del patrón en el material fueron realizados de mejor forma por el sistema en comparación con expertos del área.Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos2015-12-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/1210310.15381/idata.v18i2.12103Industrial Data; Vol. 18 No. 2 (2015); 113-120Industrial Data; Vol. 18 Núm. 2 (2015); 113-1201810-99931560-9146reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12103/10829Derechos de autor 2015 Edgar Augusto Ruelas Santoyo, Bertha Laura Vargas Rodríguez, Juan Antonio Sánchez Márquezhttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/121032021-07-14T10:00:50Z
dc.title.none.fl_str_mv This assessment of impairment in drivers of carbon steel through intelligent system
Evaluación del deterioro presente en conductores de acero al carbón mediante un sistema inteligente
title This assessment of impairment in drivers of carbon steel through intelligent system
spellingShingle This assessment of impairment in drivers of carbon steel through intelligent system
Ruelas Santoyo, Edgar Augusto
artificial neural network (ANN)
digital image processing
fuzzy logic and materials
lógica difusa y materiales
procesamiento digital de imágenes
red neuronal artificial (RNA)
title_short This assessment of impairment in drivers of carbon steel through intelligent system
title_full This assessment of impairment in drivers of carbon steel through intelligent system
title_fullStr This assessment of impairment in drivers of carbon steel through intelligent system
title_full_unstemmed This assessment of impairment in drivers of carbon steel through intelligent system
title_sort This assessment of impairment in drivers of carbon steel through intelligent system
dc.creator.none.fl_str_mv Ruelas Santoyo, Edgar Augusto
Vargas Rodríguez, Bertha Laura
Sánchez Márquez, Juan Antonio
author Ruelas Santoyo, Edgar Augusto
author_facet Ruelas Santoyo, Edgar Augusto
Vargas Rodríguez, Bertha Laura
Sánchez Márquez, Juan Antonio
author_role author
author2 Vargas Rodríguez, Bertha Laura
Sánchez Márquez, Juan Antonio
author2_role author
author
dc.subject.none.fl_str_mv artificial neural network (ANN)
digital image processing
fuzzy logic and materials
lógica difusa y materiales
procesamiento digital de imágenes
red neuronal artificial (RNA)
topic artificial neural network (ANN)
digital image processing
fuzzy logic and materials
lógica difusa y materiales
procesamiento digital de imágenes
red neuronal artificial (RNA)
description This paper describes the development of an intelligent integrated system comprised of a fuzzy logic architecture developed from descriptive statistics and an artificial neural network Fuzzy ArtMap applied in pattern recognition with digital image processing. The studied patterns are from the microstructure of carbon steel SA 210 Grade A-1. The purpose is to estimate the damage present in the material from the determination of the physical state of the material. Studied patterns in the microstructure of the material were: pearlite lamellar, spheronization and graphitization. The results showed that the damage estimation and pattern recognition in the material were correctly predicted with the developed system compared to the human expert.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-24
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12103
10.15381/idata.v18i2.12103
url https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12103
identifier_str_mv 10.15381/idata.v18i2.12103
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12103/10829
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos
publisher.none.fl_str_mv Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos
dc.source.none.fl_str_mv Industrial Data; Vol. 18 No. 2 (2015); 113-120
Industrial Data; Vol. 18 Núm. 2 (2015); 113-120
1810-9993
1560-9146
reponame:Revistas - Universidad Nacional Mayor de San Marcos
instname:Universidad Nacional Mayor de San Marcos
instacron:UNMSM
instname_str Universidad Nacional Mayor de San Marcos
instacron_str UNMSM
institution UNMSM
reponame_str Revistas - Universidad Nacional Mayor de San Marcos
collection Revistas - Universidad Nacional Mayor de San Marcos
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 13.871716
This assessment of impairment in drivers of carbon steel through intelligent system
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