Standard

Machine learning application for the high-voltage equipment lifecycle forecasting. / Khalyasmaa, Alexandra; Eroshenko, Stanislav; Elaev, Maksim и др.
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).

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Harvard

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

APA

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

Vancouver

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). doi: 10.1109/SIELA49118.2020.9167063

Author

Khalyasmaa, Alexandra ; Eroshenko, Stanislav ; Elaev, Maksim и др. / 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).

BibTeX

@inproceedings{3558ae712a73407b9f697cf5030c8c17,
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}",
year = "2020",
month = jun,
doi = "10.1109/SIELA49118.2020.9167063",
language = "English",
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",
address = "United States",
note = "21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 ; Conference date: 03-06-2020 Through 06-06-2020",

}

RIS

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

UR - http://www.scopus.com/inward/record.url?scp=85091333757&partnerID=8YFLogxK

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

ER -

ID: 13929166