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

Alexandra I. Khalyasmaa, Mihail D. Senyuk, Stanislav A. Eroshenko

Результат исследований: Вклад в журнал › Статья › Научно-исследовательская › рецензирование

Язык оригиналаАнглийский
Номер статьи8731723
Страницы (с-по)1747-1756
Число страниц10
ЖурналIEEE Transactions on Power Delivery
Том34
Номер выпуска4
DOI
СостояниеОпубликовано - 1 авг 2019

Отпечаток

Electric circuit breakers
Pattern recognition
Learning systems
Electric potential
Decision trees
Short circuit currents
Decision making
Health
Uncertainty

Ключевые слова

    Предметные области ASJC Scopus

    • Energy Engineering and Power Technology
    • Electrical and Electronic Engineering

    Предметные области WoS

    • Технологии, Электротехника и электроника

    Цитировать

    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.
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    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

    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.

    Результат исследований: Вклад в журнал › Статья › Научно-исследовательская › рецензирование

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    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. https://doi.org/10.1109/TPWRD.2019.2921095

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