RECOGNITION OF CORONA DISCHARGE PRESENCE BY ACOUSTIC SYSTEM INSTALLED ON UNMANNED AERIAL VEHICLE

Authors

  • Oleh Gryb National Technical University «Kharkiv Polytechnic Institute»
  • Ihor Karpaliuk National Technical University «Kharkiv Polytechnic Institute»
  • Serhiy Shvets National Technical University «Kharkiv Polytechnic Institute»
  • Artur Zaporozhets Institute of Engineering Thermophysics of NAS of Ukraine

DOI:

https://doi.org/10.18372/2306-1472.85.15138

Keywords:

power supply system, reliability, quality of electrical energy, unmanned aerial vehicles, UAVs, monitoring, Fourier transforms, acoustic signals

Abstract

The energy complex of Ukraine still remains a rather powerful complex among the countries of the Eurozone. Ukrainian electrical networks, which are part of the energy complex, have significant branches. The length of high and ultra-high voltage power lines (750, 330, 220, 110 kV) is thousands of kilometers. Deterioration of equipment in the power supply system of Ukraine affects the reliability of power supply and quality indicators. In such conditions, maintenance of the operating condition of the equipment is provided by routine maintenance. Considerable attention is paid to the timely detection of damage, accurate determination of the accident site and its nature. High voltage in the network leads to the appearance of such a side factor as corona discharge, which not only consumes significant amounts of electrical energy, but also distorts it. The appearance of a corona discharge may indicate an electrical malfunction of the current transmission system. Therefore, the authors chose the direction of developing galvanically independent systems for diagnosing the state of power equipment through diagnosing the presence of a corona discharge. For determining the presence of a corona discharge, it is necessary to use either a significant number of diagnostic systems, or the location of such systems on mobile platforms. It is proposed to use unmanned aerial vehicles as a platform. The methods of acoustic control proposed by the authors can be blocked by the intrinsic noises of aircraft. Therefore, an acoustic analysis of various operating modes of aircraft was carried out and compared with the acoustic spectrum of a corona discharge. The obtained results made it possible to visualize the possibility of using acoustic systems on board unmanned aerial vehicles to diagnose corona discharge by acoustic parameters.

Author Biographies

Oleh Gryb, National Technical University «Kharkiv Polytechnic Institute»

Doctor of Technical Sciences, Professor, Head of the Department of Automation and Cybersecurity of Power Systems. Education: Department of Automation and Telemechanics, Ukrainian Extramural Polytechnic Institute. Research area: energy quality, energy networks, UAVs based monitoring systems, diagnostics, control and optimization

Ihor Karpaliuk, National Technical University «Kharkiv Polytechnic Institute»

Candidate of Technical Sciences (Ph.D.), Associate Professor, Associate Professor at Department of Automation and Cybersecurity of Power Systems. Education: Department of Lighting Engineering and Light Sources, O. M. Beketov Kharkiv National University of Urban Economy. Research area: diagnostics of energy networks, methods of optimization, indirect methods, quality parameters of electricity, UAVs based monitoring systems

Serhiy Shvets, National Technical University «Kharkiv Polytechnic Institute»

Candidate of Technical Sciences (Ph.D.), Associate Professor, Associate Professor at Department of Automation and Cybersecurity of Power Systems. Education: Department of Metrology and Standardization, Kharkiv Military University. Research area: measuring methods of electricity quality, measurements and control, UAVs based monitoring systems

Artur Zaporozhets, Institute of Engineering Thermophysics of NAS of Ukraine

Candidate of Technical Sciences (Ph.D.), Senior Researcher, Senior Research Officer at Department of Monitoring and Optimization of Thermophysical Processes. Education: Department of Applied Physics, National Aviation University. Research area: process optimization, control and instrumentation, data analysis, monitoring systems

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Published

22-12-2020

How to Cite

Gryb, O., Karpaliuk, I., Shvets, S., & Zaporozhets, A. (2020). RECOGNITION OF CORONA DISCHARGE PRESENCE BY ACOUSTIC SYSTEM INSTALLED ON UNMANNED AERIAL VEHICLE. Proceedings of National Aviation University, 85(4), 46–53. https://doi.org/10.18372/2306-1472.85.15138

Issue

Section

MODERN AVIATION AND SPACE TEHNOLOGY

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