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dc.contributor.authorGitelman, L. D.en
dc.contributor.authorKozhevnikov, M. V.en
dc.contributor.authorKaplin, D. D.en
dc.date.accessioned2020-01-17T11:56:24Z-
dc.date.available2020-01-17T11:56:24Z-
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 // International Journal of Energy Production and Management. — 2019. — Vol. 4. Iss. 3. — P. 230-243.en
dc.identifier.issn2056-3272 (paper format)-
dc.identifier.issn2056-3280 (online)-
dc.identifier.urihttp://elar.urfu.ru/handle/10995/79493-
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.en
dc.description.sponsorshipThe work was supported by Act 211 of the Government of the Russian Federation, contract № 02.A03.21.0006.ru
dc.language.isoenen
dc.publisherUral Federal Universityen
dc.publisherУральский федеральный университетru
dc.relation.ispartofInternational Journal of Energy Production and Management. 2019. Vol. 4. Iss. 3en
dc.relation.haspartWIT Pressen
dc.subjectASSET MANAGEMENTen
dc.subjectROBOTIC DIAGNOSISen
dc.subjectGRIDSen
dc.subjectOVERHEAD TRANSMISSION LINESen
dc.subjectMAINTENANCE STRATEGIESen
dc.subjectDIGITAL TWINen
dc.titleAsset Management in Grid Companies Using Integrated Diagnostic Devicesen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/acceptedVersionen
dc.typeinfo:eu-repo/semantics/articleen
dc.identifier.rsihttps://elibrary.ru/item.asp?id=41804604-
dc.identifier.doi10.2495/EQ-V4-N3-230-243-
local.contributor.employeeГительман, Лазарь Давидовичru
local.contributor.employeeКожевников, Михаил Викторовичru
local.description.firstpage230-
local.description.lastpage243-
local.issue3-
local.volume4-
Располагается в коллекциях:International Journal of Energy Production and Management

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