Wavelet transform and neural network approach to developing adaptive single-pole auto-reclosing schemes for EHV transmission systems

The authors adopt the wavelet transform to detect and identify relevant electrical fault characteristics in power transmission systems. They use several components of wavelet analysis as input features to a forward neural network to distinguish transient, permanent faults and the secondary arc extinction point.