Real-Time Low-Cost Fault Detection System Placed in Non-Drive End of Motors Based on Neural Networks

Descripción del Articulo

In modern industry, electric motors are essential components in a wide range of applications, from manufacturing production to transportation and power generation. These motors are critical in industrial machinery and equipment, and their proper functioning is crucial for maintaining operational eff...

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Detalles Bibliográficos
Autores: Borda Aliaga, Brandon Gonzalo, Florez Andia, Luis
Formato: tesis de grado
Fecha de Publicación:2025
Institución:Universidad Nacional de San Agustín
Repositorio:UNSA-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.unsa.edu.pe:20.500.12773/20268
Enlace del recurso:https://hdl.handle.net/20.500.12773/20268
Nivel de acceso:acceso abierto
Materia:Non-Drive End
Real Time Detection
Low-Cost
https://purl.org/pe-repo/ocde/ford#2.11.02
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spelling Talavera Suarez, Jesus Jose FortunatoBorda Aliaga, Brandon GonzaloFlorez Andia, Luis2025-06-19T17:16:22Z2025-06-19T17:16:22Z2025In modern industry, electric motors are essential components in a wide range of applications, from manufacturing production to transportation and power generation. These motors are critical in industrial machinery and equipment, and their proper functioning is crucial for maintaining operational efficiency and productivity. However, motors are susceptible to various types of faults that can be costly in terms of downtime, production loss, and repair expenses. Early detection of these faults is essential to prevent unscheduled shutdowns, reduce maintenance costs, and avoid workplace accidents. This paper proposes a low-cost, real-time fault detection system for motors placed on the Non-Drive End based on neural networks, aimed at improving operational efficiency and reducing maintenance costs in the industry.application/pdfhttps://hdl.handle.net/20.500.12773/20268spaUniversidad Nacional de San Agustín de ArequipaPEinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Universidad Nacional de San Agustín de ArequipaRepositorio Institucional - UNSAreponame:UNSA-Institucionalinstname:Universidad Nacional de San Agustíninstacron:UNSANon-Drive EndReal Time DetectionLow-Costhttps://purl.org/pe-repo/ocde/ford#2.11.02Real-Time Low-Cost Fault Detection System Placed in Non-Drive End of Motors Based on Neural Networksinfo:eu-repo/semantics/bachelorThesisSUNEDU29272155https://orcid.org/0000-0002-8076-51987000444972252335712026713046Caceres Cabana, EdgarCutipa Luque, Juan CarlosTalavera Suarez, Jesus Jose Fortunatohttps://purl.org/pe-repo/renati/level#tituloProfesionalhttps://purl.org/pe-repo/renati/type#tesisIngeniería ElectrónicaIngeniería MecánicaUniversidad Nacional de San Agustín de Arequipa.Facultad de Ingeniería de Producción y ServiciosIngeniero ElectrónicoIngeniero MecánicoTesis Formato ArtículoORIGINALTesis.pdfapplication/pdf1118363https://repositorio.unsa.edu.pe/bitstreams/f493f60c-06e8-4c3c-88bc-22376206076c/download084f30c67a78524a84d1c5862d7f33a6MD51Reporte de Similitud.pdfapplication/pdf1398821https://repositorio.unsa.edu.pe/bitstreams/c3604e6f-2e8c-4c80-b1a1-36eddf9881c8/download0d5fcb0b6c56ec820557589b3252072aMD52Autorización de Publicación Digital 1.pdfapplication/pdf1603240https://repositorio.unsa.edu.pe/bitstreams/75ff79b7-6356-4506-97c2-31fe2ccf8b51/downloada36a18f3ecb6ba3ad9ec086e73c769dbMD53Autorización de Publicación Digital 2.pdfapplication/pdf40738https://repositorio.unsa.edu.pe/bitstreams/49f052e4-fa6b-47bf-81b6-444058d78eb0/download3491eee59fd8290314fc351ff1c1e1d0MD5420.500.12773/20268oai:repositorio.unsa.edu.pe:20.500.12773/202682025-10-07 14:31:05.174http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttps://repositorio.unsa.edu.peRepositorio Institucional UNSAvridi.gestioninformacion@unsa.edu.pe
dc.title.es_PE.fl_str_mv Real-Time Low-Cost Fault Detection System Placed in Non-Drive End of Motors Based on Neural Networks
title Real-Time Low-Cost Fault Detection System Placed in Non-Drive End of Motors Based on Neural Networks
spellingShingle Real-Time Low-Cost Fault Detection System Placed in Non-Drive End of Motors Based on Neural Networks
Borda Aliaga, Brandon Gonzalo
Non-Drive End
Real Time Detection
Low-Cost
https://purl.org/pe-repo/ocde/ford#2.11.02
title_short Real-Time Low-Cost Fault Detection System Placed in Non-Drive End of Motors Based on Neural Networks
title_full Real-Time Low-Cost Fault Detection System Placed in Non-Drive End of Motors Based on Neural Networks
title_fullStr Real-Time Low-Cost Fault Detection System Placed in Non-Drive End of Motors Based on Neural Networks
title_full_unstemmed Real-Time Low-Cost Fault Detection System Placed in Non-Drive End of Motors Based on Neural Networks
title_sort Real-Time Low-Cost Fault Detection System Placed in Non-Drive End of Motors Based on Neural Networks
author Borda Aliaga, Brandon Gonzalo
author_facet Borda Aliaga, Brandon Gonzalo
Florez Andia, Luis
author_role author
author2 Florez Andia, Luis
author2_role author
dc.contributor.advisor.fl_str_mv Talavera Suarez, Jesus Jose Fortunato
dc.contributor.author.fl_str_mv Borda Aliaga, Brandon Gonzalo
Florez Andia, Luis
dc.subject.es_PE.fl_str_mv Non-Drive End
Real Time Detection
Low-Cost
topic Non-Drive End
Real Time Detection
Low-Cost
https://purl.org/pe-repo/ocde/ford#2.11.02
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.11.02
description In modern industry, electric motors are essential components in a wide range of applications, from manufacturing production to transportation and power generation. These motors are critical in industrial machinery and equipment, and their proper functioning is crucial for maintaining operational efficiency and productivity. However, motors are susceptible to various types of faults that can be costly in terms of downtime, production loss, and repair expenses. Early detection of these faults is essential to prevent unscheduled shutdowns, reduce maintenance costs, and avoid workplace accidents. This paper proposes a low-cost, real-time fault detection system for motors placed on the Non-Drive End based on neural networks, aimed at improving operational efficiency and reducing maintenance costs in the industry.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-06-19T17:16:22Z
dc.date.available.none.fl_str_mv 2025-06-19T17:16:22Z
dc.date.issued.fl_str_mv 2025
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/bachelorThesis
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dc.publisher.es_PE.fl_str_mv Universidad Nacional de San Agustín de Arequipa
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dc.source.es_PE.fl_str_mv Universidad Nacional de San Agustín de Arequipa
Repositorio Institucional - UNSA
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instname_str Universidad Nacional de San Agustín
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institution UNSA
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Real-Time Low-Cost Fault Detection System Placed in Non-Drive End of Motors Based on Neural Networks
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