Wavelet transforms for fault detection using SVM in Power Systems

In this paper we study how Wavelet Transforms and Support Vector Machine have been used successfully for fault detection in Power Systems. We then present a case study on machine fault diagnosis, where we are getting classification accuracies up to 99%. In similar lines, we propose ideas for better fault detection in Power Systems.