Please use this identifier to cite or link to this item: http://repositorio.unitau.br/jspui/handle/20.500.11874/3165
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dc.contributor.authorGoncalves, Valdeci Donizetept_BR
dc.contributor.authorAlmeida, Luis Fernando dept_BR
dc.contributor.authorMathias, Mauro Hugopt_BR
dc.date.accessioned2019-09-12T16:57:14Z-
dc.date.available2019-09-12T16:57:14Z-
dc.date.issued2010-
dc.citation.volume56pt_BR
dc.citation.issue4pt_BR
dc.citation.spage277-
dc.citation.epage281-
dc.identifier.issn0039-2480-
dc.identifier.urihttp://repositorio.unitau.br/jspui/handle/20.500.11874/3165-
dc.description.abstractThis paper describes a method of identifying 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. (C) 2010 Journal of Mechanical Engineering. All rights reserved.en
dc.description.provenanceMade available in DSpace on 2019-09-12T16:57:14Z (GMT). No. of bitstreams: 0 Previous issue date: 2010en
dc.languageInglêspt_BR
dc.publisherAssoc Mechanical Engineers Technicians Slovenia-
dc.publisher.countryEslovêniapt_BR
dc.relation.ispartofStrojniski Vestnik-Journal of Mechanical Engineering-
dc.rightsEm verificaçãopt_BR
dc.sourceWeb of Sciencept_BR
dc.subject.otherArtificial Neural Networken
dc.subject.otherWear Particles Analysisen
dc.subject.otherExpert Systemen
dc.titleWear Particle Classifier System Based on an Artificial Neural Networken
dc.typeArtigo de Periódicopt_BR
dc.contributor.orcidMathias, Mauro Hugo https://orcid.org/0000-0001-8593-1231pt_BR
dc.contributor.researcheridMathias, Mauro Hugo/G-2851-2012pt_BR
dc.identifier.wosWOS:000279265400008-
dc.description.affiliation[Goncalves, Valdeci Donizete; Mathias, Mauro Hugo] UNESP Sao Paulo State Univ, BR-12516410 Guaratingueta, SP, Brazil-
dc.description.affiliation[de Almeida, Luis Fernando] Universidade de Taubaté (Unitau)-
dc.subject.wosareaEngineering, Mechanicalen
dc.subject.researchareaEngineeringen
Appears in Collections:Artigos de Periódicos

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