Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/jspui/handle/123456789/14445
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCarvalho Júnior, José Regivaldo de-
dc.contributor.authorNascimento, Richardson-
dc.contributor.authorD'Angelo, Thiago-
dc.contributor.authorSilva, Saul Emanuel Delabrida-
dc.contributor.authorBianchi, Andrea Gomes Campos-
dc.contributor.authorOliveira, Ricardo Augusto Rabelo-
dc.contributor.authorAzpúrua, Héctor-
dc.contributor.authorGarcia, Luis Guilherme Uzeda-
dc.date.accessioned2022-02-07T18:49:42Z-
dc.date.available2022-02-07T18:49:42Z-
dc.date.issued2020pt_BR
dc.identifier.citationCARVALHO JÚNIOR, J. R. de et al. A UAV-based framework for semi-automated thermographic inspection of belt conveyors in the mining industry. Sensors, v. 20, artigo 2243, 2020. Disponível em: <https://www.mdpi.com/1424-8220/20/8/2243>. Acesso em: 25 agosto 2021.pt_BR
dc.identifier.issn1424-8220-
dc.identifier.urihttp://www.repositorio.ufop.br/jspui/handle/123456789/14445-
dc.description.abstractFrequent and accurate inspections of industrial components and equipment are essential because failures can cause unscheduled downtimes, massive material, and financial losses or even endanger workers. In the mining industry, belt idlers or rollers are examples of such critical components. Although there are many precise laboratory techniques to assess the condition of a roller, companies still have trouble implementing a reliable and scalable procedure to inspect their field assets. This article enumerates and discusses the existing roller inspection techniques and presents a novel approach based on an Unmanned Aerial Vehicle (UAV) integrated with a thermal imaging camera. Our preliminary results indicate that using a signal processing technique, we are able to identify roller failures automatically. We also proposed and implemented a back-end platform that enables field and cloud connectivity with enterprise systems. Finally, we have also cataloged the anomalies detected during the extensive field tests in order to build a structured dataset that will allow for future experimentation.pt_BR
dc.language.isoen_USpt_BR
dc.rightsabertopt_BR
dc.subjectIdler rollerspt_BR
dc.subjectComputer visionpt_BR
dc.subjectMaintenancept_BR
dc.titleA UAV-based framework for semi-automated thermographic inspection of belt conveyors in the mining industry.pt_BR
dc.typeArtigo publicado em periodicopt_BR
dc.rights.licenseThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Fonte: o PDF do artigo.pt_BR
dc.identifier.doihttps://doi.org/10.3390/s20082243pt_BR
Appears in Collections:DECOM - Artigos publicados em periódicos

Files in This Item:
File Description SizeFormat 
ARTIGO_UAVFrameworkSemiAutomated.pdf3,21 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.