High-voltage Equipment State Assessment Method Based on the Integrated Use of Advanced Non-Destructive Technologies

Alexandra I. Khalyasmaa; Alina I. Stepanova; Irina V. Davidenko

doi:10.1109/EIConRus.2019.8657305

High-voltage Equipment State Assessment Method Based on the Integrated Use of Advanced Non-Destructive Technologies

Alexandra I. Khalyasmaa, Alina I. Stepanova, Irina V. Davidenko

Результат исследований: Глава в книге, отчете, сборнике статей › Материалы конференции

Язык оригинала	Английский
Название основной публикации	Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019
Редакторы	S. Shaposhnikov
Издатель	Institute of Electrical and Electronics Engineers Inc.
Страницы	988-991
Число страниц	4
ISBN (электронное издание)	9781728103396
DOI	https://doi.org/10.1109/EIConRus.2019.8657305
Состояние	Опубликовано - 28 фев 2019
Событие	2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019 - Saint Petersburg and Moscow, Российская Федерация Продолжительность: 28 янв 2019 → 30 янв 2019

Серия публикаций

Название	IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference
Издатель	IEEE
ISSN (печатное издание)	2376-6557

Конференция

Конференция	2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019
Страна	Российская Федерация
Город	Saint Petersburg and Moscow
Период	28/01/2019 → 30/01/2019

Предметные области ASJC Scopus

Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Electronic, Optical and Magnetic Materials
Instrumentation
Radiation
Computer Networks and Communications
Hardware and Architecture
Energy Engineering and Power Technology

Предметные области WoS

Технологии, Электротехника и электроника

Ссылки

10.1109/EIConRus.2019.8657305

Fingerprint Подробные сведения о темах исследования «High-voltage Equipment State Assessment Method Based on the Integrated Use of Advanced Non-Destructive Technologies». Вместе они формируют уникальный семантический отпечаток (fingerprint).

1 Завершено
1 Активно

Новые интеллектуальные технологии управления производственными активами электроэнергетических предприятий
Хальясмаа, А. И., Шатунова, Д. В., Зиновьева, Е. Л., Сенюк, М. Д., Шабунина, О. В., Снегирев, Д. А., Ерошенко, С. А. & Плотников, Л. В.
01/08/2019 → …
Проект: Исследование › Научная группа
Адаптивная система управления и прогнозирования жизненного цикла оборудования электроэнергетических систем на основе методов глубокого машинного обучения
Хальясмаа, А. И.
30/06/2018 → 30/06/2020
Проект: Проект-Грант

Цитировать

Khalyasmaa, A. I., Stepanova, A. I., & Davidenko, I. V. (2019). High-voltage Equipment State Assessment Method Based on the Integrated Use of Advanced Non-Destructive Technologies. В S. Shaposhnikov (Ред.), Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019 (стр. 988-991). [8657305] (IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EIConRus.2019.8657305

Khalyasmaa, Alexandra I. ; Stepanova, Alina I. ; Davidenko, Irina V. / High-voltage Equipment State Assessment Method Based on the Integrated Use of Advanced Non-Destructive Technologies. Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019. редактор / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2019. стр. 988-991 (IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference).

@inproceedings{7c6b9cad2fcf41678ece8a22330a483f,

title = "High-voltage Equipment State Assessment Method Based on the Integrated Use of Advanced Non-Destructive Technologies",

keywords = "Diagnostics, Infrared testing, Non-destructive testing, Partial discharges, Technical state assessment, Ultraviolet testing",

author = "Khalyasmaa, {Alexandra I.} and Stepanova, {Alina I.} and Davidenko, {Irina V.}",

year = "2019",

month = feb,

day = "28",

doi = "10.1109/EIConRus.2019.8657305",

language = "English",

series = "IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "988--991",

editor = "S. Shaposhnikov",

booktitle = "Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019",

address = "United States",

note = "2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019 ; Conference date: 28-01-2019 Through 30-01-2019",

}

Khalyasmaa, AI, Stepanova, AI & Davidenko, IV 2019, High-voltage Equipment State Assessment Method Based on the Integrated Use of Advanced Non-Destructive Technologies. в S Shaposhnikov (ред.), Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019., 8657305, IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference, Institute of Electrical and Electronics Engineers Inc., стр. 988-991, 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019, Saint Petersburg and Moscow, Российская Федерация, 28/01/2019. https://doi.org/10.1109/EIConRus.2019.8657305

High-voltage Equipment State Assessment Method Based on the Integrated Use of Advanced Non-Destructive Technologies. / Khalyasmaa, Alexandra I.; Stepanova, Alina I.; Davidenko, Irina V.

Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019. ред. / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2019. стр. 988-991 8657305 (IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference).

Результат исследований: Глава в книге, отчете, сборнике статей › Материалы конференции

TY - GEN

T1 - High-voltage Equipment State Assessment Method Based on the Integrated Use of Advanced Non-Destructive Technologies

AU - Khalyasmaa, Alexandra I.

AU - Stepanova, Alina I.

AU - Davidenko, Irina V.

PY - 2019/2/28

Y1 - 2019/2/28

KW - Diagnostics

KW - Infrared testing

KW - Non-destructive testing

KW - Partial discharges

KW - Technical state assessment

KW - Ultraviolet testing

UR - http://www.scopus.com/inward/record.url?scp=85063467016&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000469452600236

U2 - 10.1109/EIConRus.2019.8657305

DO - 10.1109/EIConRus.2019.8657305

M3 - Conference contribution

AN - SCOPUS:85063467016

T3 - IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference

SP - 988

EP - 991

BT - Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019

A2 - Shaposhnikov, S.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019

Y2 - 28 January 2019 through 30 January 2019

ER -

Khalyasmaa AI, Stepanova AI, Davidenko IV. High-voltage Equipment State Assessment Method Based on the Integrated Use of Advanced Non-Destructive Technologies. В Shaposhnikov S, редактор, Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019. Institute of Electrical and Electronics Engineers Inc. 2019. стр. 988-991. 8657305. (IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference). https://doi.org/10.1109/EIConRus.2019.8657305

High-voltage Equipment State Assessment Method Based on the Integrated Use of Advanced Non-Destructive Technologies

Серия публикаций

Конференция

Предметные области ASJC Scopus

Предметные области WoS

Ссылки

Новые интеллектуальные технологии управления производственными активами электроэнергетических предприятий

Адаптивная система управления и прогнозирования жизненного цикла оборудования электроэнергетических систем на основе методов глубокого машинного обучения

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