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dc.contributor.authorGitelman, L. D.en
dc.contributor.authorKozhevnikov, M. V.en
dc.contributor.authorKaplin, D. D.en
dc.date.accessioned2020-09-29T09:47:22Z-
dc.date.available2020-09-29T09:47:22Z-
dc.date.issued2019-
dc.identifier.citationGitelman, L. D. Asset management in grid companies using integrated diagnostic devices / L. D. Gitelman, M. V. Kozhevnikov, D. D. Kaplin. — DOI 10.2495/EQ-V4-N3-230-243 // International Journal of Energy Production and Management. — 2019. — Vol. 3. — Iss. 4. — P. 230-243.en
dc.identifier.issn2056-3272-
dc.identifier.otherhttp://www.witpress.com/Secure/ejournals/papers/EQ040305f.pdfpdf
dc.identifier.other1good_DOI
dc.identifier.otherbe76f709-e11b-4e8c-a4d8-04abf595a9edpure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85072665322m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/90439-
dc.description.abstractThe digitization of power grids envisages a transition to new models of fault diagnosis, repair and maintenance of electric power grid equipment. The most promising tools for implementing advanced production asset management strategies are integrated technologies that are based on robotic diagnostic platforms, various hardware-software instruments and smart data analysis systems. The article analyzes other countries' experience of developing robotic methods of fault diagnosis and maintenance of overhead power transmission lines, which present a major challenge in terms of monitoring, failure prediction and localized repairs. The Cablewalker robotic system was used as an example for identifying the advantages of integrated diagnostic hardware systems as opposed to traditional methods of power grid equipment maintenance and overhaul. Recommendations are given for adopting the technology in grid companies. During trials of the technology on a 2.34-km section of a power transmission line 112 defects were detected versus three that were identified by means of 'manual' inspection. A digital twin of the transmission line was created to manage its technical condition with regard to various risks. © 2019 WIT Pressen
dc.description.sponsorshipGovernment Council on Grants, Russian Federationen
dc.description.sponsorshipThe work was supported by Act 211 of the Government of the Russian Federation, contract № 02.A03.21.0006.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherWITPressen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceInternational Journal of Energy Production and Managementen
dc.subjectASSET MANAGEMENTen
dc.subjectDIGITAL TWINen
dc.subjectGRIDSen
dc.subjectMAINTENANCE STRATEGIESen
dc.subjectOVERHEAD TRANSMISSION LINESen
dc.subjectROBOTIC DIAGNOSISen
dc.titleAsset management in grid companies using integrated diagnostic devicesen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.2495/EQ-V4-N3-230-243-
dc.identifier.scopus85072665322-
local.affiliationDepartment of Energy and Industrial Management Systems, Ural Federal University, Russian Federationen
local.affiliationJSC “Rosseti Ural”, Russian Federationen
local.contributor.employeeGitelman, L.D., Department of Energy and Industrial Management Systems, Ural Federal University, Russian Federationru
local.contributor.employeeKozhevnikov, M.V., Department of Energy and Industrial Management Systems, Ural Federal University, Russian Federationru
local.contributor.employeeKaplin, D.D., JSC “Rosseti Ural”, Russian Federationru
local.description.firstpage230-
local.description.lastpage243-
local.issue4-
local.volume3-
local.identifier.pure10770346-
local.identifier.eid2-s2.0-85072665322-
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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