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Application of Probabilistic Neural Networks Using High-Frequency Components’ Differential Current for Transformer Protection Schemes to Discriminate between External Faults and Internal Winding Faults in Power Transformers

Internal and external faults in a power transformer are discriminated in this paper using an algorithm based on a combination of a discrete wavelet transform (DWT) and a probabilistic neural network (PNN). DWT decomposes high-frequency fault components using the maximum coefficients of a ¼ cycle DWT...

Whakaahuatanga katoa

I tiakina i:
Ngā kaituhi matua: Pathomthat Chiradeja, Chaichan Pothisarn, Nattanon Phannil, Santipont Ananwattananporn, Monthon Leelajindakrairerk, Atthapol Ngaopitakkul, Surakit Thongsuk, Vinai Pornpojratanakul, Sulee Bunjongjit, Suntiti Yoomak
Hōputu: Artigo
Reo:Inglês
I whakaputaina: MDPI AG 2021-11-01
Rangatū:Applied Sciences
Ngā marau:
difference relay
fault detection
power transformer
wavelet transform (WT)
probabilistic neural network (PNN)
Urunga tuihono:https://www.mdpi.com/2076-3417/11/22/10619
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