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Training sample formation for intelligent recognition of circuit breakers states patterns. / Khalyasmaa, Alexandra I.; Senyuk, Mihail D.; Eroshenko, Stanislav A.
2018 IEEE 59th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8659886.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Harvard

Khalyasmaa, AI, Senyuk, MD & Eroshenko, SA 2018, Training sample formation for intelligent recognition of circuit breakers states patterns. in 2018 IEEE 59th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2018 - Proceedings., 8659886, Institute of Electrical and Electronics Engineers Inc., 59th IEEE Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2018, Riga, Latvia, 12/11/2018. https://doi.org/10.1109/RTUCON.2018.8659886

APA

Khalyasmaa, A. I., Senyuk, M. D., & Eroshenko, S. A. (2018). Training sample formation for intelligent recognition of circuit breakers states patterns. In 2018 IEEE 59th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2018 - Proceedings [8659886] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RTUCON.2018.8659886

Vancouver

Khalyasmaa AI, Senyuk MD, Eroshenko SA. Training sample formation for intelligent recognition of circuit breakers states patterns. In 2018 IEEE 59th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8659886 doi: 10.1109/RTUCON.2018.8659886

Author

Khalyasmaa, Alexandra I. ; Senyuk, Mihail D. ; Eroshenko, Stanislav A. / Training sample formation for intelligent recognition of circuit breakers states patterns. 2018 IEEE 59th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018.

BibTeX

@inproceedings{3b5cdb35bbad420998a66fe650d73543,
title = "Training sample formation for intelligent recognition of circuit breakers states patterns",
keywords = "circuit breakers, diagnostics, machine learning approach, Python 3, switching devices, testing, training sample, XGBoost",
author = "Khalyasmaa, {Alexandra I.} and Senyuk, {Mihail D.} and Eroshenko, {Stanislav A.}",
year = "2018",
doi = "10.1109/RTUCON.2018.8659886",
language = "English",
booktitle = "2018 IEEE 59th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "59th IEEE Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2018 ; Conference date: 12-11-2018 Through 13-11-2018",

}

RIS

TY - GEN

T1 - Training sample formation for intelligent recognition of circuit breakers states patterns

AU - Khalyasmaa, Alexandra I.

AU - Senyuk, Mihail D.

AU - Eroshenko, Stanislav A.

PY - 2018

Y1 - 2018

KW - circuit breakers

KW - diagnostics

KW - machine learning approach

KW - Python 3

KW - switching devices

KW - testing

KW - training sample

KW - XGBoost

UR - http://www.scopus.com/inward/record.url?scp=85063490911&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000463163000079

UR - https://elibrary.ru/item.asp?id=38695610

U2 - 10.1109/RTUCON.2018.8659886

DO - 10.1109/RTUCON.2018.8659886

M3 - Conference contribution

AN - SCOPUS:85063490911

BT - 2018 IEEE 59th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 59th IEEE Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2018

Y2 - 12 November 2018 through 13 November 2018

ER -

ID: 9177656