Title :
Wavelet transforms for fault detection using SVM in Power Systems
Author :
Sevakula, Rahul K. ; Verma, Nishchal K.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Kanpur, Kanpur, India
Abstract :
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.
Keywords :
fault diagnosis; power engineering computing; power system faults; support vector machines; wavelet transforms; SVM; fault detection; machine fault diagnosis; power systems; support vector machine; wavelet transforms; Discrete wavelet transforms; Feature extraction; Power systems; Support vector machines; Wavelet domain; Fault Detection; Health Monitoring; Power Systems; SVM; Smart Grid; Wavelet Transforms;
Conference_Titel :
Power Electronics, Drives and Energy Systems (PEDES), 2012 IEEE International Conference on
Conference_Location :
Bengaluru
Print_ISBN :
978-1-4673-4506-4
DOI :
10.1109/PEDES.2012.6484324
