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Application of Artificial Neural Network for High Impedance Fault Detection in Power System
This paper presents a neural network-based method for the detection of high impedance faults (HIF), utilizing a Levenberg-Marquardt-trained artificial neural network as well as a realistic two-diode HIF model in MATLAB Simulink.