Wear particle classifier system based on an artificial neural network

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUNITAU - TAUBATÉ University-
Autor(es): dc.creatorGonçalves, Valdeci Donizete-
Autor(es): dc.creatorDe Almeida, Luis Fernando-
Autor(es): dc.creatorMathias, Mauro Hugo-
Data de aceite: dc.date.accessioned2025-08-21T16:44:52Z-
Data de disponibilização: dc.date.available2025-08-21T16:44:52Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2010-06-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/231922-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/231922-
Descrição: dc.descriptionThis 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.-
Descrição: dc.descriptionUNESP - São Paulo State University-
Descrição: dc.descriptionUNITAU - TAUBATÉ University-
Descrição: dc.descriptionUNESP - São Paulo State University-
Formato: dc.format284-288-
Idioma: dc.languageen-
Relação: dc.relationStrojniski Vestnik/Journal of Mechanical Engineering-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectArtificial neural network-
Palavras-chave: dc.subjectExpert system-
Palavras-chave: dc.subjectWear particles analysis-
Título: dc.titleWear particle classifier system based on an artificial neural network-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.