Abstract
In this document a temperature measurement method is proposed and the thermal behavior produced by the corona effect in the distribution line is analyzed. Laboratory tests are carried out on a distribution network that is modeled by two pin type insulators and a 1/0 ACSR cable. Based on the IEC 60270 standard, the direct test circuit is assembled. Temperature and voltage signal measurements are taken every 10 minutes, applying voltages at industrial frequency ranging from 12.7 to 60 kV. The voltage signal is captured by the Tektronix DSO 5034 oscilloscope and the temperature data is obtained with the Fluke Ti 25 thermal image. For data collection and identification of the existence of the corona effect, the decision tree methodology was used, which is part of deep learning, which was trained with the database obtained.
| Original language | English |
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| Title of host publication | International Conference on Electrical, Computer, and Energy Technologies, ICECET 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665442312 |
| DOIs | |
| State | Published - 2021 |
| Event | 2021 International Conference on Electrical, Computer, and Energy Technologies, ICECET 2021 - Cape Town, South Africa Duration: 9 Dec 2021 → 10 Dec 2021 |
Publication series
| Name | International Conference on Electrical, Computer, and Energy Technologies, ICECET 2021 |
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Conference
| Conference | 2021 International Conference on Electrical, Computer, and Energy Technologies, ICECET 2021 |
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| Country/Territory | South Africa |
| City | Cape Town |
| Period | 9/12/21 → 10/12/21 |
Bibliographical note
Funding Information:ACKNOWLEDGMENT The Authors thank the ”Salesian Polytechnic University and the Renewable Energies Research Group (GIE)” Cuenca headquarters for the support provided during this research.
Publisher Copyright:
© 2021 IEEE.
Keywords
- corona effect
- deep learning
- distribution line
- thermal imaging camera