Classification of power system transients using wavelet transforms and probabilistic neural networks

Through this paper, we propose a novel method of automation of power system fault identification information, by the wavelet analysis of power system transients. We have incorporated a probabilistic neural network (PNN) for detecting the type of fault. This paper is focused on fault identification but can also be easily extended to other power system solutions such as fault location and so forth.