Please use this identifier to cite or link to this item:
http://repositorio.unitau.br/jspui/handle/20.500.11874/3080
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Leme, B. C. C. | pt_BR |
dc.contributor.author | Almeida, Luis Fernando | pt_BR |
dc.contributor.author | Bizarria, J. W. P. | pt_BR |
dc.contributor.author | Bizarria, F. C. P. | pt_BR |
dc.contributor.author | Soares, A. M. S. | pt_BR |
dc.contributor.author | Ramos, M. A. C. | pt_BR |
dc.date.accessioned | 2019-09-12T16:57:08Z | - |
dc.date.available | 2019-09-12T16:57:08Z | - |
dc.date.issued | 2017 | - |
dc.citation.spage | 1925 | - |
dc.citation.epage | 1929 | - |
dc.identifier.isbn | 978-1-5386-0948-4 | - |
dc.identifier.issn | 2157-3611 | - |
dc.identifier.uri | http://repositorio.unitau.br/jspui/handle/20.500.11874/3080 | - |
dc.description.abstract | Particle 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.provenance | Made available in DSpace on 2019-09-12T16:57:08Z (GMT). No. of bitstreams: 0 Previous issue date: 2017 | en |
dc.language | Inglês | pt_BR |
dc.publisher | Ieee | - |
dc.publisher.country | Estados Unidos | pt_BR |
dc.relation.ispartof | 2017 Ieee International Conference on Industrial Engineering and Engineering Management (Ieem) | - |
dc.relation.ispartofseries | International Conference on Industrial Engineering and Engineering Management IEEM | - |
dc.relation.haspart | IEEE International Conference on Industrial Engineering and Engineering Management (IEEE IEEM) | - |
dc.rights | Em verificação | pt_BR |
dc.source | Web of Science | pt_BR |
dc.subject.other | Particles Counting | en |
dc.subject.other | Predictive Maintenance | en |
dc.subject.other | Industrial Oil | en |
dc.subject.other | Iso 4406 | en |
dc.subject.other | Image Processing | en |
dc.subject.other | Machinery Lubrication | en |
dc.title | Development of a Low-Cost Tool for Semi-Automatic Classification and Counting of Particles in Industrial Oils | en |
dc.type | Trabalho apresentado em evento | pt_BR |
dc.contributor.researcherid | Soares, Andreimar M/K-5556-2014 | pt_BR |
dc.identifier.wos | WOS: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.wosarea | Engineering, Industrial | en |
dc.subject.wosarea | Operations Research & Management Science | en |
dc.subject.researcharea | Engineering | en |
dc.subject.researcharea | Operations Research & Management Science | en |
Appears in Collections: | Trabalhos Apresentados em Eventos Artigos de Periódicos |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.