Fault analyses of power transmission lines by modular neural network and wavelet transform

Fastly isolating faulted power transmission lines has a big importance for transmission system security.Real fault datas is used for detecting fault fastly and accurately.At this work; first of all the real faulted datas filtered by designed fitler than the wavelet energy of filtered data is used by modular probabilistic neural network for analyzing the fault and fault type.Four different probabilistic neural network module, sorting function and statistic function is used for fast accurate detecting fault and fault type.