Please use this identifier to cite or link to this item: http://repositorio.unitau.br/jspui/handle/20.500.11874/3080
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dc.contributor.authorLeme, B. C. C.pt_BR
dc.contributor.authorAlmeida, Luis Fernandopt_BR
dc.contributor.authorBizarria, J. W. P.pt_BR
dc.contributor.authorBizarria, F. C. P.pt_BR
dc.contributor.authorSoares, A. M. S.pt_BR
dc.contributor.authorRamos, M. A. C.pt_BR
dc.date.accessioned2019-09-12T16:57:08Z-
dc.date.available2019-09-12T16:57:08Z-
dc.date.issued2017-
dc.citation.spage1925-
dc.citation.epage1929-
dc.identifier.isbn978-1-5386-0948-4-
dc.identifier.issn2157-3611-
dc.identifier.urihttp://repositorio.unitau.br/jspui/handle/20.500.11874/3080-
dc.description.abstractParticle counting is a well-established method for detecting contaminations in industrial oil aiming at extending machinery shelf life. Although being standardized procedures for oil analysis vast, they are also very time-consuming and complex to be performed by most companies. This results in an often used standard-less analysis called photo-comparison. Besides not being standardized, this method does not present the real condition of the oil and is highly subjective. In this paper, we present an approach for semi-automatic classification and counting of particles in industrial oils strictly in accordance with the ISO 4406 standard. The aim is to turn feasible for companies in general, standardized methods for particle counting. The results demonstrate the potential of the tool to quickly and effectively count particles, providing the specialist with relevant information concerning the characteristics of the particles, availing one a more accurate decision making.en
dc.description.provenanceMade available in DSpace on 2019-09-12T16:57:08Z (GMT). No. of bitstreams: 0 Previous issue date: 2017en
dc.languageInglêspt_BR
dc.publisherIeee-
dc.publisher.countryEstados Unidospt_BR
dc.relation.ispartof2017 Ieee International Conference on Industrial Engineering and Engineering Management (Ieem)-
dc.relation.ispartofseriesInternational Conference on Industrial Engineering and Engineering Management IEEM-
dc.relation.haspartIEEE International Conference on Industrial Engineering and Engineering Management (IEEE IEEM)-
dc.rightsEm verificaçãopt_BR
dc.sourceWeb of Sciencept_BR
dc.subject.otherParticles Countingen
dc.subject.otherPredictive Maintenanceen
dc.subject.otherIndustrial Oilen
dc.subject.otherIso 4406en
dc.subject.otherImage Processingen
dc.subject.otherMachinery Lubricationen
dc.titleDevelopment of a Low-Cost Tool for Semi-Automatic Classification and Counting of Particles in Industrial Oilsen
dc.typeTrabalho apresentado em eventopt_BR
dc.contributor.researcheridSoares, Andreimar M/K-5556-2014pt_BR
dc.identifier.wosWOS:000428267800389-
dc.description.affiliation[Leme, B. C. C.; Soares, A. M. S.; Ramos, M. A. C.] Universidade de Taubaté (Unitau), Dept Mech Engn-
dc.description.affiliation[Almeida, L. F.; Bizarria, J. W. P.; Bizarria, F. C. P.] Universidade de Taubaté (Unitau), Dept Informat-
dc.subject.wosareaEngineering, Industrialen
dc.subject.wosareaOperations Research & Management Scienceen
dc.subject.researchareaEngineeringen
dc.subject.researchareaOperations Research & Management Scienceen
Appears in Collections:Trabalhos Apresentados em Eventos
Artigos de Periódicos

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