![]() ![]() 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. The proposed UHF PD antenna is fabricated and measured and the results show that it provides good impedance matching, realized gain, radiation pattern, and circular polarization. In this work, the cavity is modified to tackle this problem. However, it is found that the originally-designed cavity-backed antenna does not work properly near 1.35 GHz due to resonance phenomena in the cavity. ![]() The cavity is employed to obtain unidirectional radiation patterns and prevent external signal interference. The microstrip-to-paired strips balun is designed to yield good performance in the return loss, insertion loss, and amplitude and phase imbalances which are of great necessity for low axial ratio. ![]() The Archimedean spiral antenna is embedded by FR-4 as substrate and superstrate for miniaturization. The proposed PD antenna consists of an Archimedean spiral antenna, a balun, and a cavity. In this work, a circularly-polarized ultra-high frequency (UHF) partial discharge (PD) antenna is proposed to detect the PD in 0.6 GHz – 1.7 GHz. ![]()
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