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http://elar.urfu.ru/handle/10995/79493
Полная запись метаданных
Поле DC | Значение | Язык |
---|---|---|
dc.contributor.author | Gitelman, L. D. | en |
dc.contributor.author | Kozhevnikov, M. V. | en |
dc.contributor.author | Kaplin, D. D. | en |
dc.date.accessioned | 2020-01-17T11:56:24Z | - |
dc.date.available | 2020-01-17T11:56:24Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Gitelman 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.issn | 2056-3272 (paper format) | - |
dc.identifier.issn | 2056-3280 (online) | - |
dc.identifier.uri | http://elar.urfu.ru/handle/10995/79493 | - |
dc.description.abstract | The 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.sponsorship | The work was supported by Act 211 of the Government of the Russian Federation, contract № 02.A03.21.0006. | ru |
dc.language.iso | en | en |
dc.publisher | Ural Federal University | en |
dc.publisher | Уральский федеральный университет | ru |
dc.relation.ispartof | International Journal of Energy Production and Management. 2019. Vol. 4. Iss. 3 | en |
dc.relation.haspart | WIT Press | en |
dc.subject | ASSET MANAGEMENT | en |
dc.subject | ROBOTIC DIAGNOSIS | en |
dc.subject | GRIDS | en |
dc.subject | OVERHEAD TRANSMISSION LINES | en |
dc.subject | MAINTENANCE STRATEGIES | en |
dc.subject | DIGITAL TWIN | en |
dc.title | Asset Management in Grid Companies Using Integrated Diagnostic Devices | en |
dc.type | Article | en |
dc.type | info:eu-repo/semantics/acceptedVersion | en |
dc.type | info:eu-repo/semantics/article | en |
dc.identifier.rsi | https://elibrary.ru/item.asp?id=41804604 | - |
dc.identifier.doi | 10.2495/EQ-V4-N3-230-243 | - |
local.contributor.employee | Гительман, Лазарь Давидович | ru |
local.contributor.employee | Кожевников, Михаил Викторович | ru |
local.description.firstpage | 230 | - |
local.description.lastpage | 243 | - |
local.issue | 3 | - |
local.volume | 4 | - |
Располагается в коллекциях: | International Journal of Energy Production and Management |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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ijepm_2019_v4_3_05.pdf | 1,45 MB | Adobe PDF | Просмотреть/Открыть |
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