Machine Learning Approach Application for High-voltage Instrument Transformers Technical State Assessment

Alexandra Khalyasmaa; Alina Stepanova; Daria Shatunova; Vadim Manusov

doi:10.1051/itmconf/20192403001

Machine Learning Approach Application for High-voltage Instrument Transformers Technical State Assessment

Alexandra Khalyasmaa, Alina Stepanova, Daria Shatunova, Vadim Manusov

Resultado de la investigación: Conference contribution › revisión exhaustiva

Idioma original	English
Título de la publicación alojada	AMCSE 2018 - INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, COMPUTATIONAL SCIENCE AND SYSTEMS ENGINEERING
Editores	N Bardis
Editorial	Региональная общественная организация содействия развитию институтов Отделения экономики РАН
Número de páginas	5
DOI	https://doi.org/10.1051/itmconf/20192403001
Estado	Published - 2019
Evento	International Conference on Applied Mathematics, Computational Science and Systems Engineering (AMCSE) - Rome, Italy Duración: 23 nov 2018 → 25 nov 2018

Serie de la publicación

Nombre	ITM Web of Conferences
Editorial	E D P SCIENCES
Volumen	24
ISSN (versión impresa)	2271-2097

Conference

Conference	International Conference on Applied Mathematics, Computational Science and Systems Engineering (AMCSE)
País/Territorio	Italy
Ciudad	Rome
Período	23/11/2018 → 25/11/2018

WoS ResearchAreas Categories

Computer Science, Information Systems
Computer Science, Theory & Methods
Mathematics, Applied

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10.1051/itmconf/20192403001

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https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000473095100028

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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Khalyasmaa, A., Stepanova, A., Shatunova, D., & Manusov, V. (2019). Machine Learning Approach Application for High-voltage Instrument Transformers Technical State Assessment. En N. Bardis (Ed.), AMCSE 2018 - INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, COMPUTATIONAL SCIENCE AND SYSTEMS ENGINEERING (ITM Web of Conferences; Vol. 24). Региональная общественная организация содействия развитию институтов Отделения экономики РАН. https://doi.org/10.1051/itmconf/20192403001

Khalyasmaa, Alexandra ; Stepanova, Alina ; Shatunova, Daria et al. / Machine Learning Approach Application for High-voltage Instrument Transformers Technical State Assessment. AMCSE 2018 - INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, COMPUTATIONAL SCIENCE AND SYSTEMS ENGINEERING. editor / N Bardis. Региональная общественная организация содействия развитию институтов Отделения экономики РАН, 2019. (ITM Web of Conferences).

@inproceedings{ccc6554d468541f2879616f07d937d93,

title = "Machine Learning Approach Application for High-voltage Instrument Transformers Technical State Assessment",

author = "Alexandra Khalyasmaa and Alina Stepanova and Daria Shatunova and Vadim Manusov",

year = "2019",

doi = "10.1051/itmconf/20192403001",

language = "English",

series = "ITM Web of Conferences",

publisher = "Региональная общественная организация содействия развитию институтов Отделения экономики РАН",

editor = "N Bardis",

booktitle = "AMCSE 2018 - INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, COMPUTATIONAL SCIENCE AND SYSTEMS ENGINEERING",

address = "Russian Federation",

note = "International Conference on Applied Mathematics, Computational Science and Systems Engineering (AMCSE) ; Conference date: 23-11-2018 Through 25-11-2018",

}

Khalyasmaa, A , Stepanova, A , Shatunova, D & Manusov, V 2019, Machine Learning Approach Application for High-voltage Instrument Transformers Technical State Assessment. En N Bardis (ed.), AMCSE 2018 - INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, COMPUTATIONAL SCIENCE AND SYSTEMS ENGINEERING. ITM Web of Conferences, vol. 24, Региональная общественная организация содействия развитию институтов Отделения экономики РАН, International Conference on Applied Mathematics, Computational Science and Systems Engineering (AMCSE), Rome, Italy, 23/11/2018. https://doi.org/10.1051/itmconf/20192403001

Machine Learning Approach Application for High-voltage Instrument Transformers Technical State Assessment. / Khalyasmaa, Alexandra ; Stepanova, Alina ; Shatunova, Daria et al.
AMCSE 2018 - INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, COMPUTATIONAL SCIENCE AND SYSTEMS ENGINEERING. ed. / N Bardis. Региональная общественная организация содействия развитию институтов Отделения экономики РАН, 2019. (ITM Web of Conferences; Vol. 24).

Resultado de la investigación: Conference contribution › revisión exhaustiva

TY - GEN

T1 - Machine Learning Approach Application for High-voltage Instrument Transformers Technical State Assessment

AU - Khalyasmaa, Alexandra

AU - Stepanova, Alina

AU - Shatunova, Daria

AU - Manusov, Vadim

PY - 2019

Y1 - 2019

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000473095100028

U2 - 10.1051/itmconf/20192403001

DO - 10.1051/itmconf/20192403001

M3 - Conference contribution

T3 - ITM Web of Conferences

BT - AMCSE 2018 - INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, COMPUTATIONAL SCIENCE AND SYSTEMS ENGINEERING

A2 - Bardis, N

PB - Региональная общественная организация содействия развитию институтов Отделения экономики РАН

T2 - International Conference on Applied Mathematics, Computational Science and Systems Engineering (AMCSE)

Y2 - 23 November 2018 through 25 November 2018

ER -

Khalyasmaa A , Stepanova A , Shatunova D, Manusov V. Machine Learning Approach Application for High-voltage Instrument Transformers Technical State Assessment. En Bardis N, editor, AMCSE 2018 - INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, COMPUTATIONAL SCIENCE AND SYSTEMS ENGINEERING. Региональная общественная организация содействия развитию институтов Отделения экономики РАН. 2019. (ITM Web of Conferences). doi: 10.1051/itmconf/20192403001

Machine Learning Approach Application for High-voltage Instrument Transformers Technical State Assessment

Serie de la publicación

Conference

WoS ResearchAreas Categories

Acceder al documento

Otros archivos y enlaces

Huella

Proyectos

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

Citar esto