Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
}
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