Machine learning application for the high-voltage equipment lifecycle forecasting

Alexandra Khalyasmaa; Stanislav Eroshenko; Maksim Elaev; Tran Duc Chung

doi:10.1109/SIELA49118.2020.9167063

Machine learning application for the high-voltage equipment lifecycle forecasting

Alexandra Khalyasmaa, Stanislav Eroshenko, Maksim Elaev, Tran Duc Chung

Результат исследований: Глава в книге, отчете, сборнике статей › Материалы конференции

Язык оригинала	Английский
Название основной публикации	2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings
Издатель	Institute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)	9781728143460
DOI	https://doi.org/10.1109/SIELA49118.2020.9167063
Состояние	Опубликовано - июн 2020
Событие	21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Bourgas, Болгария Продолжительность: 3 июн 2020 → 6 июн 2020

Серия публикаций

Название	2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings

Конференция

Конференция	21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020
Страна	Болгария
Город	Bourgas
Период	03/06/2020 → 06/06/2020

Предметные области ASJC Scopus

Computer Networks and Communications
Computer Science Applications
Information Systems and Management
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality

Ссылки

10.1109/SIELA49118.2020.9167063

Link to publication in Scopus

Fingerprint Подробные сведения о темах исследования «Machine learning application for the high-voltage equipment lifecycle forecasting». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать

Khalyasmaa, A., Eroshenko, S., Elaev, M., & Chung, T. D. (2020). Machine learning application for the high-voltage equipment lifecycle forecasting. В 2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings [9167063] (2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIELA49118.2020.9167063

Khalyasmaa, Alexandra ; Eroshenko, Stanislav ; Elaev, Maksim ; Chung, Tran Duc. / Machine learning application for the high-voltage equipment lifecycle forecasting. 2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings).

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title = "Machine learning application for the high-voltage equipment lifecycle forecasting",

keywords = "Intelligent system, Lifecycle, Power transformer, Training sample",

author = "Alexandra Khalyasmaa and Stanislav Eroshenko and Maksim Elaev and Chung, {Tran Duc}",

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series = "2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings",

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note = "21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 ; Conference date: 03-06-2020 Through 06-06-2020",

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Khalyasmaa, A , Eroshenko, S, Elaev, M & Chung, TD 2020, Machine learning application for the high-voltage equipment lifecycle forecasting. в 2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings., 9167063, 2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020, Bourgas, Болгария, 03/06/2020. https://doi.org/10.1109/SIELA49118.2020.9167063

Machine learning application for the high-voltage equipment lifecycle forecasting. / Khalyasmaa, Alexandra ; Eroshenko, Stanislav; Elaev, Maksim; Chung, Tran Duc.

2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9167063 (2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings).

Результат исследований: Глава в книге, отчете, сборнике статей › Материалы конференции

TY - GEN

T1 - Machine learning application for the high-voltage equipment lifecycle forecasting

AU - Khalyasmaa, Alexandra

AU - Eroshenko, Stanislav

AU - Elaev, Maksim

AU - Chung, Tran Duc

PY - 2020/6

Y1 - 2020/6

KW - Intelligent system

KW - Lifecycle

KW - Power transformer

KW - Training sample

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U2 - 10.1109/SIELA49118.2020.9167063

DO - 10.1109/SIELA49118.2020.9167063

M3 - Conference contribution

AN - SCOPUS:85091333757

T3 - 2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings

BT - 2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020

Y2 - 3 June 2020 through 6 June 2020

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Khalyasmaa A , Eroshenko S, Elaev M, Chung TD. Machine learning application for the high-voltage equipment lifecycle forecasting. В 2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9167063. (2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings). https://doi.org/10.1109/SIELA49118.2020.9167063