Classification of High Impedance Fault Patterns by Recognition of Linear Prediction coefficients

선형 예측 계수의 인식에 의한 고저항 지락사고 유형의 분류

This paper presents classification of high impedance fault pattern using linear prediction coefficients. A feature of neutral phase current is extracted by the linear predictive coding. This feature is classified into faults by a multilayer perceptron neural network. Neural network successfully classifies test data into three faults and one normal state.