作者: Mamta Patel , R. N. Patel
DOI: 10.5120/7489-0543
关键词: Wavelet 、 Telecommunications 、 Computer science 、 Electric power transmission 、 Discrete wavelet transform 、 Artificial intelligence 、 Pattern recognition 、 Fault detection and isolation 、 Artificial neural network 、 Fault indicator 、 Fault (power engineering) 、 Transmission line
摘要: and distribution lines are vital links between generating units consumers. They exposed to atmosphere, hence chances of occurrence fault in transmission line is very high, which has be immediately taken care order minimize damage caused by it. In this paper discrete wavelet transform voltage signals at the two ends have been analyzed. Transient energies detail information for consecutive data windows used analysis. Four layer feed forward back propagation neural networks designed classify locate different single ground conditions.