Standard

Localization of the Overhead Power Transmission Line Insulators Defects Using Computer Vision Algorithms: book chapter. / Khalyasmaa, Alexandra; Zinovieva, Elena; Mazunina, Marina и др.
Proceedings of the 2023 Belarusian-Ural-Siberian Smart Energy Conference, BUSSEC 2023: book. Institute of Electrical and Electronics Engineers Inc., 2023. стр. 165-168.

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

Harvard

Khalyasmaa, A, Zinovieva, E, Mazunina, M, Lider, S, Harlashkin, D & Harlashkina, M 2023, Localization of the Overhead Power Transmission Line Insulators Defects Using Computer Vision Algorithms: book chapter. в Proceedings of the 2023 Belarusian-Ural-Siberian Smart Energy Conference, BUSSEC 2023: book. Institute of Electrical and Electronics Engineers Inc., стр. 165-168, Международная конференция "Belarusian-Ural-Siberian Smart Energy Conference (BUSSEC) 2023", Екатеринбург, Российская Федерация, 25/09/2023. https://doi.org/10.1109/BUSSEC59406.2023.10296265

APA

Khalyasmaa, A., Zinovieva, E., Mazunina, M., Lider, S., Harlashkin, D., & Harlashkina, M. (2023). Localization of the Overhead Power Transmission Line Insulators Defects Using Computer Vision Algorithms: book chapter. в Proceedings of the 2023 Belarusian-Ural-Siberian Smart Energy Conference, BUSSEC 2023: book (стр. 165-168). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BUSSEC59406.2023.10296265

Vancouver

Khalyasmaa A, Zinovieva E, Mazunina M, Lider S, Harlashkin D, Harlashkina M. Localization of the Overhead Power Transmission Line Insulators Defects Using Computer Vision Algorithms: book chapter. в Proceedings of the 2023 Belarusian-Ural-Siberian Smart Energy Conference, BUSSEC 2023: book. Institute of Electrical and Electronics Engineers Inc. 2023. стр. 165-168 doi: 10.1109/BUSSEC59406.2023.10296265

Author

Khalyasmaa, Alexandra ; Zinovieva, Elena ; Mazunina, Marina и др. / Localization of the Overhead Power Transmission Line Insulators Defects Using Computer Vision Algorithms : book chapter. Proceedings of the 2023 Belarusian-Ural-Siberian Smart Energy Conference, BUSSEC 2023: book. Institute of Electrical and Electronics Engineers Inc., 2023. стр. 165-168

BibTeX

@inproceedings{ceea0c0cf68345a2b54f1127ac37a8d8,
title = "Localization of the Overhead Power Transmission Line Insulators Defects Using Computer Vision Algorithms: book chapter",
abstract = "The article is devoted to the issues of assessing the technical state of insulators of the overhead power transmission lines and the review of implementing different methods and means of assessment. The reasons and needs for monitoring the technical state of the overhead power transmission line insulators are determined, the main types of insulator defects are described and an analysis of the statistics of their failures during operation is provided. A review of methods for inspecting defects in the overhead power transmission line insulators using modern automated monitoring systems is presented. Methods for recognizing the overhead power transmission line insulators and localizing their defects in the ultraviolet and visible spectra images are considered. Methods for processing images of insulators in the ultraviolet and visible spectra with the use of computer vision algorithms are described. {\textcopyright} 2023 IEEE.",
author = "Alexandra Khalyasmaa and Elena Zinovieva and Marina Mazunina and Sergey Lider and Dmitry Harlashkin and Maria Harlashkina",
year = "2023",
doi = "10.1109/BUSSEC59406.2023.10296265",
language = "English",
isbn = "979-835035807-0",
pages = "165--168",
booktitle = "Proceedings of the 2023 Belarusian-Ural-Siberian Smart Energy Conference, BUSSEC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "2023 Belarusian-Ural-Siberian Smart Energy Conference (BUSSEC) ; Conference date: 25-09-2023 Through 29-09-2023",

}

RIS

TY - GEN

T1 - Localization of the Overhead Power Transmission Line Insulators Defects Using Computer Vision Algorithms

T2 - 2023 Belarusian-Ural-Siberian Smart Energy Conference (BUSSEC)

AU - Khalyasmaa, Alexandra

AU - Zinovieva, Elena

AU - Mazunina, Marina

AU - Lider, Sergey

AU - Harlashkin, Dmitry

AU - Harlashkina, Maria

PY - 2023

Y1 - 2023

N2 - The article is devoted to the issues of assessing the technical state of insulators of the overhead power transmission lines and the review of implementing different methods and means of assessment. The reasons and needs for monitoring the technical state of the overhead power transmission line insulators are determined, the main types of insulator defects are described and an analysis of the statistics of their failures during operation is provided. A review of methods for inspecting defects in the overhead power transmission line insulators using modern automated monitoring systems is presented. Methods for recognizing the overhead power transmission line insulators and localizing their defects in the ultraviolet and visible spectra images are considered. Methods for processing images of insulators in the ultraviolet and visible spectra with the use of computer vision algorithms are described. © 2023 IEEE.

AB - The article is devoted to the issues of assessing the technical state of insulators of the overhead power transmission lines and the review of implementing different methods and means of assessment. The reasons and needs for monitoring the technical state of the overhead power transmission line insulators are determined, the main types of insulator defects are described and an analysis of the statistics of their failures during operation is provided. A review of methods for inspecting defects in the overhead power transmission line insulators using modern automated monitoring systems is presented. Methods for recognizing the overhead power transmission line insulators and localizing their defects in the ultraviolet and visible spectra images are considered. Methods for processing images of insulators in the ultraviolet and visible spectra with the use of computer vision algorithms are described. © 2023 IEEE.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85178029258

U2 - 10.1109/BUSSEC59406.2023.10296265

DO - 10.1109/BUSSEC59406.2023.10296265

M3 - Conference contribution

SN - 979-835035807-0

SP - 165

EP - 168

BT - Proceedings of the 2023 Belarusian-Ural-Siberian Smart Energy Conference, BUSSEC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 25 September 2023 through 29 September 2023

ER -

ID: 49263770