System for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptron
This paper describes the application of a recognition system wear patterns present in carbon steel, the system classifies the microstructure of the materials which have three conditions throughout life-time in thermoelectric plants. This approach employs the artificial neural network multilayer perc...
- Autores:
-
Ruelas Santoyo, Edgar Augusto
Vázquez López, José Antonio
Yáñez Mendiola, Javier
Baeza Serrato, Roberto
Jiménez García, José Alfredo
Sánchez Márquez, Juan
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/67539
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/67539
http://bdigital.unal.edu.co/68568/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
Red neuronal artificial
procesamiento digital de imagen
defectos en material
Artificial neural network
digital image processing
material defects
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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| dc.title.spa.fl_str_mv |
System for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptron |
| title |
System for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptron |
| spellingShingle |
System for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptron 62 Ingeniería y operaciones afines / Engineering Red neuronal artificial procesamiento digital de imagen defectos en material Artificial neural network digital image processing material defects |
| title_short |
System for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptron |
| title_full |
System for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptron |
| title_fullStr |
System for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptron |
| title_full_unstemmed |
System for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptron |
| title_sort |
System for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptron |
| dc.creator.fl_str_mv |
Ruelas Santoyo, Edgar Augusto Vázquez López, José Antonio Yáñez Mendiola, Javier Baeza Serrato, Roberto Jiménez García, José Alfredo Sánchez Márquez, Juan |
| dc.contributor.author.spa.fl_str_mv |
Ruelas Santoyo, Edgar Augusto Vázquez López, José Antonio Yáñez Mendiola, Javier Baeza Serrato, Roberto Jiménez García, José Alfredo Sánchez Márquez, Juan |
| dc.subject.ddc.spa.fl_str_mv |
62 Ingeniería y operaciones afines / Engineering |
| topic |
62 Ingeniería y operaciones afines / Engineering Red neuronal artificial procesamiento digital de imagen defectos en material Artificial neural network digital image processing material defects |
| dc.subject.proposal.spa.fl_str_mv |
Red neuronal artificial procesamiento digital de imagen defectos en material Artificial neural network digital image processing material defects |
| description |
This paper describes the application of a recognition system wear patterns present in carbon steel, the system classifies the microstructure of the materials which have three conditions throughout life-time in thermoelectric plants. This approach employs the artificial neural network multilayer perceptron in conjunction with the digital image processing to recognize the different physical states of the materials used as conductors in conditions of high temperatures. The studied patterns in the microstructure are spheronization, decarburization and graphitization. The microstructure is revealed from microscope images obtained in the Testing Laboratory Equipment and Materials of the Federal Electricity Commission in Mexico (LAPEM-CFE). The proposed system compared to the human expert, obtained an accuracy of 96.83 % with a shorter analysis time and inspection cost. |
| publishDate |
2018 |
| dc.date.issued.spa.fl_str_mv |
2018-01-01 |
| dc.date.accessioned.spa.fl_str_mv |
2019-07-03T04:29:41Z |
| dc.date.available.spa.fl_str_mv |
2019-07-03T04:29:41Z |
| dc.type.spa.fl_str_mv |
Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_6501 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
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http://purl.org/redcol/resource_type/ART |
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http://purl.org/coar/resource_type/c_6501 |
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publishedVersion |
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ISSN: 2248-8723 |
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https://repositorio.unal.edu.co/handle/unal/67539 |
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http://bdigital.unal.edu.co/68568/ |
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ISSN: 2248-8723 |
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https://repositorio.unal.edu.co/handle/unal/67539 http://bdigital.unal.edu.co/68568/ |
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spa |
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spa |
| dc.relation.spa.fl_str_mv |
https://revistas.unal.edu.co/index.php/ingeinv/article/view/60265 |
| dc.relation.ispartof.spa.fl_str_mv |
Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e Investigación Ingeniería e Investigación |
| dc.relation.references.spa.fl_str_mv |
Ruelas Santoyo, Edgar Augusto and Vázquez López, José Antonio and Yáñez Mendiola, Javier and Baeza Serrato, Roberto and Jiménez García, José Alfredo and Sánchez Márquez, Juan (2018) System for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptron. Ingeniería e Investigación, 38 (1). pp. 113-120. ISSN 2248-8723 |
| dc.rights.spa.fl_str_mv |
Derechos reservados - Universidad Nacional de Colombia |
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http://purl.org/coar/access_right/c_abf2 |
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Atribución-NoComercial 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc/4.0/ |
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info:eu-repo/semantics/openAccess |
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Atribución-NoComercial 4.0 Internacional Derechos reservados - Universidad Nacional de Colombia http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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application/pdf |
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Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ingeniería |
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Universidad Nacional de Colombia |
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Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Ruelas Santoyo, Edgar Augustoeb68d06e-1eb9-410e-b4f3-c7d81da5c5e4300Vázquez López, José Antonio5ddc21db-febf-4ba2-982a-609372c655dc300Yáñez Mendiola, Javier7fffe59b-1b9f-41f2-a2e5-57f3d07e1431300Baeza Serrato, Roberto38d03044-240e-44b5-a891-2668283a0a24300Jiménez García, José Alfredo9a74eb5e-cfb0-4c7a-b22d-86a1933aa0ae300Sánchez Márquez, Juan442cca4b-6bbc-4aec-bc56-ef3b416102ae3002019-07-03T04:29:41Z2019-07-03T04:29:41Z2018-01-01ISSN: 2248-8723https://repositorio.unal.edu.co/handle/unal/67539http://bdigital.unal.edu.co/68568/This paper describes the application of a recognition system wear patterns present in carbon steel, the system classifies the microstructure of the materials which have three conditions throughout life-time in thermoelectric plants. This approach employs the artificial neural network multilayer perceptron in conjunction with the digital image processing to recognize the different physical states of the materials used as conductors in conditions of high temperatures. The studied patterns in the microstructure are spheronization, decarburization and graphitization. The microstructure is revealed from microscope images obtained in the Testing Laboratory Equipment and Materials of the Federal Electricity Commission in Mexico (LAPEM-CFE). The proposed system compared to the human expert, obtained an accuracy of 96.83 % with a shorter analysis time and inspection cost.Este artículo describe la aplicación de un sistema de reconocimiento de patrones de desgaste presente en aceros al carbón, el sistema clasifica la microestructura de los materiales los cuales presentan tres condiciones a lo largo de su vida útil en plantas termoeléctricas. El enfoque propuesto emplea la red neuronal artificial perceptrón multicapa, en conjunto con el procesamiento digital de imágenes para reconocer los diferentes estados físicos de los materiales utilizados como conductores en condiciones de altas temperaturas. La microestructura de las condiciones estudiadas son esferonización, descarborización y grafitización. La microestructura se revela a partir de imágenes de microscopio obtenidos en el Laboratorio de Pruebas de Equipos y Materiales de la Comisión Federal de Electricidad de México (CFE-LAPEM). El sistema propuesto, en comparación con el humano experto, obtuvo una exactitud promedio del 96.82 % con un menor tiempo de análisis y costo de inspección.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ingenieríahttps://revistas.unal.edu.co/index.php/ingeinv/article/view/60265Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e InvestigaciónIngeniería e InvestigaciónRuelas Santoyo, Edgar Augusto and Vázquez López, José Antonio and Yáñez Mendiola, Javier and Baeza Serrato, Roberto and Jiménez García, José Alfredo and Sánchez Márquez, Juan (2018) System for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptron. Ingeniería e Investigación, 38 (1). pp. 113-120. ISSN 2248-872362 Ingeniería y operaciones afines / EngineeringRed neuronal artificialprocesamiento digital de imagendefectos en materialArtificial neural networkdigital image processingmaterial defectsSystem for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptronArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL60265-380225-1-PB.pdfapplication/pdf1006679https://repositorio.unal.edu.co/bitstream/unal/67539/1/60265-380225-1-PB.pdfa3e1b9a1c0d51440a397cdd6592747fbMD51THUMBNAIL60265-380225-1-PB.pdf.jpg60265-380225-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg8357https://repositorio.unal.edu.co/bitstream/unal/67539/2/60265-380225-1-PB.pdf.jpg9b24d24b8a972cd38ba982c105c95b2eMD52unal/67539oai:repositorio.unal.edu.co:unal/675392024-05-22 23:33:41.361Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |