Comparative Investigation of Corona Pulse Characteristics under DC and AC Voltages

Halil Ibrahim Uckol, Taylan Ozgur Bilgic, Suat Ilhan

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5 Atıf (Scopus)

Özet

This paper presents a comparative investigation of AC, + DC, and - DC corona discharge pulse characteristics using machine learning (ML) algorithms. The corona discharges under different types of excitation are generated via a rod-plane elec-trode system with a constant gap spacing. The corona discharge pulses are recorded using a shunt resistor via an oscilloscope. After noise elimination from the discharge pulses, nine features extracted from the noise-free signals are inputted to several ML models to identify the corona discharges with respect to the voltage types. To increase the performance of a single model, ensemble learning, which is the combination of ML algorithms, is employed. It is observed that the corona discharge types are effectively identified with these features using ensemble learning with a high accuracy rate.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2022 IEEE International Conference on High Voltage Engineering and Applications, ICHVE 2022
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781665407502
DOI'lar
Yayın durumuYayınlandı - 2022
Etkinlik2022 IEEE International Conference on High Voltage Engineering and Applications, ICHVE 2022 - Chongqing, China
Süre: 25 Eyl 202229 Eyl 2022

Yayın serisi

Adı2022 IEEE International Conference on High Voltage Engineering and Applications, ICHVE 2022

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???event.eventtypes.event.conference???2022 IEEE International Conference on High Voltage Engineering and Applications, ICHVE 2022
Ülke/BölgeChina
ŞehirChongqing
Periyot25/09/2229/09/22

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© 2022 IEEE.

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