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

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	012005
Number of pages	5
Journal	IOP Conference Series: Materials Science and Engineering
Volume	836
Issue number	1
DOIs	https://doi.org/10.1088/1757-899X/836/1/012005
Publication status	Published - 6 May 2020
Event	2019 4th International Conference on Reliability Engineering, ICRE 2019 - Rome, Italy Duration: 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

Cite this

@article{b2e9c2e732174fefa87ba696413553d3,

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.}",

year = "2020",

month = may,

day = "6",

doi = "10.1088/1757-899X/836/1/012005",

language = "English",

volume = "836",

journal = "IOP Conference Series: Materials Science and Engineering",

issn = "1757-8981",

publisher = "Institute of Physics Publishing",

number = "1",

note = "2019 4th International Conference on Reliability Engineering, ICRE 2019 ; Conference date: 20-11-2019 Through 22-11-2019",

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AU - Khalyasmaa, A. I.

AU - Eroshenko, S. A.

AU - Shatunova, D. V.

AU - Larionova, A. A.

AU - Egorov, A. O.

PY - 2020/5/6

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U2 - 10.1088/1757-899X/836/1/012005

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

M3 - Article

AN - SCOPUS:85085749806

SN - 1757-8981

VL - 836

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

IS - 1

M1 - 012005

T2 - 2019 4th International Conference on Reliability Engineering, ICRE 2019

Y2 - 20 November 2019 through 22 November 2019

ER -

Digital twin technology as an instrument for increasing electrical equipment reliability

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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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Digital twin technology as an instrument for increasing electrical equipment reliability

ASJC Scopus subject areas

WoS ResearchAreas Categories

Access to Document

Other files and links

Fingerprint

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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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