대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1996년도 하계학술대회 논문집 B
- /
- Pages.1353-1355
- /
- 1996
선형 예측 계수의 인식에 의한 고저항 지락사고 유형의 분류
Classification of High Impedance Fault Patterns by Recognition of Linear Prediction coefficients
- Lee, Ho-Seob (Dept. of Electrical Engineering Soongsil University) ;
- Kong, Seong-Gon (Dept. of Electrical Engineering Soongsil University)
- 발행 : 1996.07.22
초록
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.
키워드