Standard

High-Voltage Circuit Breakers Technical State Patterns Recognition Based on Machine Learning Methods. / Khalyasmaa, Alexandra I.; Senyuk, Mihail D.; Eroshenko, Stanislav A.
в: IEEE Transactions on Power Delivery, Том 34, № 4, 8731723, 01.08.2019, стр. 1747-1756.

Результаты исследований: Вклад в журнал › Статья › Рецензирование

Harvard

Khalyasmaa, AI, Senyuk, MD & Eroshenko, SA 2019, 'High-Voltage Circuit Breakers Technical State Patterns Recognition Based on Machine Learning Methods', IEEE Transactions on Power Delivery, Том. 34, № 4, 8731723, стр. 1747-1756. https://doi.org/10.1109/TPWRD.2019.2921095

APA

Khalyasmaa, A. I., Senyuk, M. D., & Eroshenko, S. A. (2019). High-Voltage Circuit Breakers Technical State Patterns Recognition Based on Machine Learning Methods. IEEE Transactions on Power Delivery, 34(4), 1747-1756. [8731723]. https://doi.org/10.1109/TPWRD.2019.2921095

Vancouver

Khalyasmaa AI, Senyuk MD, Eroshenko SA. High-Voltage Circuit Breakers Technical State Patterns Recognition Based on Machine Learning Methods. IEEE Transactions on Power Delivery. 2019 авг. 1;34(4):1747-1756. 8731723. doi: 10.1109/TPWRD.2019.2921095

Author

Khalyasmaa, Alexandra I. ; Senyuk, Mihail D. ; Eroshenko, Stanislav A. / High-Voltage Circuit Breakers Technical State Patterns Recognition Based on Machine Learning Methods. в: IEEE Transactions on Power Delivery. 2019 ; Том 34, № 4. стр. 1747-1756.

BibTeX

@article{8606d0f28f334621adc9d146b896ce23,
title = "High-Voltage Circuit Breakers Technical State Patterns Recognition Based on Machine Learning Methods",
keywords = "circuit breaker, gradient boosted trees algorithm, machine learning, pattern recognition, sample, short circuit currents, technical diagnostics, Technical state",
author = "Khalyasmaa, {Alexandra I.} and Senyuk, {Mihail D.} and Eroshenko, {Stanislav A.}",
year = "2019",
month = aug,
day = "1",
doi = "10.1109/TPWRD.2019.2921095",
language = "English",
volume = "34",
pages = "1747--1756",
journal = "IEEE Transactions on Power Delivery",
issn = "0885-8977",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",

}

RIS

TY - JOUR

T1 - High-Voltage Circuit Breakers Technical State Patterns Recognition Based on Machine Learning Methods

AU - Khalyasmaa, Alexandra I.

AU - Senyuk, Mihail D.

AU - Eroshenko, Stanislav A.

PY - 2019/8/1

Y1 - 2019/8/1

KW - circuit breaker

KW - gradient boosted trees algorithm

KW - machine learning

KW - pattern recognition

KW - sample

KW - short circuit currents

KW - technical diagnostics

KW - Technical state

UR - http://www.scopus.com/inward/record.url?scp=85069900620&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000477724800057

U2 - 10.1109/TPWRD.2019.2921095

DO - 10.1109/TPWRD.2019.2921095

M3 - Article

AN - SCOPUS:85069900620

VL - 34

SP - 1747

EP - 1756

JO - IEEE Transactions on Power Delivery

JF - IEEE Transactions on Power Delivery

SN - 0885-8977

IS - 4

M1 - 8731723

ER -

ID: 10270529