Order Article Reprints

Chiradeja P, Pothisarn C, Phannil N, Ananwattananporn S, Leelajindakrairerk M, Ngaopitakkul A, Thongsuk S, Pornpojratanakul V, Bunjongjit S, Yoomak S. 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. Applied Sciences. 2021; 11(22):10619. https://doi.org/10.3390/app112210619

Chiradeja, Pathomthat, Chaichan Pothisarn, Nattanon Phannil, Santipont Ananwattananporn, Monthon Leelajindakrairerk, Atthapol Ngaopitakkul, Surakit Thongsuk, Vinai Pornpojratanakul, Sulee Bunjongjit, and Suntiti Yoomak. 2021. "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" Applied Sciences 11, no. 22: 10619. https://doi.org/10.3390/app112210619

Chiradeja, P., Pothisarn, C., Phannil, N., Ananwattananporn, S., Leelajindakrairerk, M., Ngaopitakkul, A., Thongsuk, S., Pornpojratanakul, V., Bunjongjit, S., & Yoomak, S. (2021). 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. Applied Sciences, 11(22), 10619. https://doi.org/10.3390/app112210619