Investigating the Capability of PD-Type Recognition Based on UHF Signals Recorded with Different Antennas Using Supervised Machine Learning

Investigating the Capability of PD-Type Recognition Based on UHF Signals Recorded with Different Antennas Using Supervised Machine Learning

The article presents research on the influence of the type of UHF antenna and the type of machine learning algorithm on the effectiveness of classification of partial discharges (PD) occurring in the insulation system of a power transformer. For this purpose, four antennas specially adapted to be in...

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Bibliographic Details
Main Authors: Daria Wotzka, Wojciech Sikorski, Cyprian Szymczak
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Energies
Subjects:
UHF antenna
PD defect
power transformer
classification
machine learning
feature analysis
Online Access:https://www.mdpi.com/1996-1073/15/9/3167

Internet

https://www.mdpi.com/1996-1073/15/9/3167

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