Digital twin technology as an instrument for increasing electrical equipment reliability

A. I. Khalyasmaa; S. A. Eroshenko; D. V. Shatunova; A. A. Larionova; A. O. Egorov

doi:10.1088/1757-899X/836/1/012005

Digital twin technology as an instrument for increasing electrical equipment reliability

A. I. Khalyasmaa, S. A. Eroshenko, D. V. Shatunova, A. A. Larionova, A. O. Egorov

Resultado de la investigación: Article › revisión exhaustiva

Idioma original	English
Número de artículo	012005
Número de páginas	5
Publicación	IOP Conference Series: Materials Science and Engineering
Volumen	836
N.º	1
DOI	https://doi.org/10.1088/1757-899X/836/1/012005
Estado	Published - 6 may. 2020
Evento	2019 4th International Conference on Reliability Engineering, ICRE 2019 - Rome, Italy Duración: 20 nov. 2019 → 22 nov. 2019

ASJC Scopus subject areas

Materials Science(all)
Engineering(all)

WoS ResearchAreas Categories

Engineering, Multidisciplinary

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10.1088/1757-899X/836/1/012005

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1 Terminado
1 Activo

Новые интеллектуальные технологии управления производственными активами электроэнергетических предприятий
Хальясмаа, А. И., Шатунова, Д. В., Зиновьева, Е. Л., Сенюк, М. Д., Шабунина, О. В., Снегирев, Д. А., Ерошенко, С. А. & Плотников, Л. В.
01/08/2019 → …
Proyecto: Research Group
Адаптивная система управления и прогнозирования жизненного цикла оборудования электроэнергетических систем на основе методов глубокого машинного обучения
Хальясмаа, А. И.
30/06/2018 → 30/06/2020
Proyecto: Award Project

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title = "Digital twin technology as an instrument for increasing electrical equipment reliability",

author = "Khalyasmaa, {A. I.} and Eroshenko, {S. A.} and Shatunova, {D. V.} and Larionova, {A. A.} and Egorov, {A. O.}",

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month = may,

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AU - Eroshenko, S. A.

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AU - Egorov, A. O.

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Digital twin technology as an instrument for increasing electrical equipment reliability

ASJC Scopus subject areas

WoS ResearchAreas Categories

Acceder al documento

Otros archivos y enlaces

Huella

Proyectos

Новые интеллектуальные технологии управления производственными активами электроэнергетических предприятий

Адаптивная система управления и прогнозирования жизненного цикла оборудования электроэнергетических систем на основе методов глубокого машинного обучения

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