A Method for Identifying External Short-Circuit Faults in Power Transformers Based on Support Vector Machines

Being a vital component of electrical power systems, transformers significantly influence the system stability and reliability of power supplies. Damage to transformers may lead to significant economic losses. The efficient identification of transformer faults holds paramount importance for the stab...

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Veröffentlicht in:	Electronics (Basel) 2024-05, Vol.13 (9), p.1716
Hauptverfasser:	Du, Hao, Cai, Linglong, Ma, Zhiqin, Rao, Zhangquan, Shu, Xiang, Jiang, Shuo, Li, Zhongxiang, Li, Xianqiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Analysis Artificial intelligence China Classification Coils (windings) Economic impact Electric power supplies Electric power systems Electric properties Electric transformers Fault detection Faults Frequency response Identification Identification methods Kernel functions Magnetic fields Methods Neural networks Performance evaluation Short circuit currents Support vector machines Systems stability Temperature Transformers Vibration analysis
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