Wear particle classifier system based on an artificial neural network

Detalhes bibliográficos
Autor(a) principal: Gonçalves, Valdeci Donizete [UNESP]
Data de Publicação: 2010
Outros Autores: De Almeida, Luis Fernando, Mathias, Mauro Hugo [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/231922
Resumo: This paper describes a method to identify morphological attributes that classify wear particles in relation to the wear process from which they originate and permit the automatic identification without human expertise. The method is based on the use of Multi Layer Perceptron (MLP) for analysis of specific types of microscopic wear particles. The classification of the wear particles was performed according to their morphological attributes of size and aspect ratio, among others. © 2010 Journal of Mechanical Engineering.
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spelling Wear particle classifier system based on an artificial neural networkArtificial neural networkExpert systemWear particles analysisThis paper describes a method to identify morphological attributes that classify wear particles in relation to the wear process from which they originate and permit the automatic identification without human expertise. The method is based on the use of Multi Layer Perceptron (MLP) for analysis of specific types of microscopic wear particles. The classification of the wear particles was performed according to their morphological attributes of size and aspect ratio, among others. © 2010 Journal of Mechanical Engineering.UNESP - São Paulo State UniversityUNITAU - TAUBATÉ UniversityUNESP - São Paulo State UniversityUniversidade Estadual Paulista (UNESP)UNITAU - TAUBATÉ UniversityGonçalves, Valdeci Donizete [UNESP]De Almeida, Luis FernandoMathias, Mauro Hugo [UNESP]2022-04-29T08:48:13Z2022-04-29T08:48:13Z2010-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject284-288Strojniski Vestnik/Journal of Mechanical Engineering, v. 56, n. 4, p. 284-288, 2010.0039-2480http://hdl.handle.net/11449/2319222-s2.0-77952748102Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengStrojniski Vestnik/Journal of Mechanical Engineeringinfo:eu-repo/semantics/openAccess2022-04-29T08:48:13Zoai:repositorio.unesp.br:11449/231922Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-29T08:48:13Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Wear particle classifier system based on an artificial neural network
title Wear particle classifier system based on an artificial neural network
spellingShingle Wear particle classifier system based on an artificial neural network
Gonçalves, Valdeci Donizete [UNESP]
Artificial neural network
Expert system
Wear particles analysis
title_short Wear particle classifier system based on an artificial neural network
title_full Wear particle classifier system based on an artificial neural network
title_fullStr Wear particle classifier system based on an artificial neural network
title_full_unstemmed Wear particle classifier system based on an artificial neural network
title_sort Wear particle classifier system based on an artificial neural network
author Gonçalves, Valdeci Donizete [UNESP]
author_facet Gonçalves, Valdeci Donizete [UNESP]
De Almeida, Luis Fernando
Mathias, Mauro Hugo [UNESP]
author_role author
author2 De Almeida, Luis Fernando
Mathias, Mauro Hugo [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
UNITAU - TAUBATÉ University
dc.contributor.author.fl_str_mv Gonçalves, Valdeci Donizete [UNESP]
De Almeida, Luis Fernando
Mathias, Mauro Hugo [UNESP]
dc.subject.por.fl_str_mv Artificial neural network
Expert system
Wear particles analysis
topic Artificial neural network
Expert system
Wear particles analysis
description This paper describes a method to identify morphological attributes that classify wear particles in relation to the wear process from which they originate and permit the automatic identification without human expertise. The method is based on the use of Multi Layer Perceptron (MLP) for analysis of specific types of microscopic wear particles. The classification of the wear particles was performed according to their morphological attributes of size and aspect ratio, among others. © 2010 Journal of Mechanical Engineering.
publishDate 2010
dc.date.none.fl_str_mv 2010-06-01
2022-04-29T08:48:13Z
2022-04-29T08:48:13Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv Strojniski Vestnik/Journal of Mechanical Engineering, v. 56, n. 4, p. 284-288, 2010.
0039-2480
http://hdl.handle.net/11449/231922
2-s2.0-77952748102
identifier_str_mv Strojniski Vestnik/Journal of Mechanical Engineering, v. 56, n. 4, p. 284-288, 2010.
0039-2480
2-s2.0-77952748102
url http://hdl.handle.net/11449/231922
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Strojniski Vestnik/Journal of Mechanical Engineering
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 284-288
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1803046121613819904

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