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Wavelet transforms for fault detection using SVM in Power Systems

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2 Author(s)
Sevakula, R.K. ; Dept. of Electr. Eng., Indian Inst. of Technol. Kanpur, Kanpur, India ; Verma, N.K.

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.

Published in:

Power Electronics, Drives and Energy Systems (PEDES), 2012 IEEE International Conference on

Date of Conference:

16-19 Dec. 2012