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

Результат исследований: Вклад в журналСтатьяНаучно-исследовательскаярецензирование

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

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    title = "High-Voltage Circuit Breakers Technical State Patterns Recognition Based on Machine Learning Methods",
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    author = "Khalyasmaa, {Alexandra I.} and Senyuk, {Mihail D.} and Eroshenko, {Stanislav A.}",
    year = "2019",
    month = "8",
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    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 журналСтатьяНаучно-исследовательскаярецензирование

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