Vestnik of Astrakhan State Technical University. Series: Management, Computer Sciences and Informatics
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Vestnik of Astrakhan State Technical University. Series: Management, Computer Sciences and Informatics, 2022, Number 3, Pages 30–37
DOI: https://doi.org/10.24143/2072-9502-2022-3-30-37
(Mi vagtu728)
 

COMPUTER SOFTWARE AND COMPUTING EQUIPMENT

Software and hardware complex based on technical vision for diagnosing electrical insulators

S. V. Golovkoa, J. A. Golovkob

a Astrakhan State Technical University, Astrakhan, Russia
b Astrakhan State University name of V.N. Tatishcheva, Astrakhan, Russia
References:
Abstract: Control of the equipment dielectric insulation is one of the most important types of diagnostics in operation of the electrical networks, because the defects cause ionization of voids and partial corona discharges. These discharges gradually destroy the insulation causing the energy loss, radio interference and decreasing the fire safety of the operated electrical equipment. Common failures of electrical insulators are breakdowns, overlaps and mechanical damage. The need to determine the resistance against the surface discharges increases in case of using the new polymer materials due to their characteristics. Developing the systems with computer (technical) vision is one of the ways for implementing automated control of the quantity and the area of corona discharges. The long-term experience of diagnostics accumulated by the specialists by using the ultraviolet flaw detectors and thermovision cameras has demonstrated the high efficiency in checking the damages in the high-voltage equipment and power lines. Application of vision technologies in the hardware and software complex will eliminate errors in checking and analyzing the flares, as well as minimize human participation in a number of monotonous operations, reduce the loss of working time caused by the human factor, protect the life and health of workers.
Keywords: electrical insulators, diagnostics, electric discharge, technical vision system, hardware and software complex, decision making algorithm.
Received: 28.07.2022
Accepted: 07.07.2022
Document Type: Article
UDC: 004.67
Language: Russian
Citation: S. V. Golovko, J. A. Golovko, “Software and hardware complex based on technical vision for diagnosing electrical insulators”, Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics, 2022, no. 3, 30–37
Citation in format AMSBIB
\Bibitem{GolGol22}
\by S.~V.~Golovko, J.~A.~Golovko
\paper Software and hardware complex based on technical vision for diagnosing electrical insulators
\jour Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics
\yr 2022
\issue 3
\pages 30--37
\mathnet{http://mi.mathnet.ru/vagtu728}
\crossref{https://doi.org/10.24143/2072-9502-2022-3-30-37}
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    Вестник Астраханского государственного технического университета. Серия: Управление, вычислительная техника и информатика
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    References:17
     
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