@article{(Open Science Index):https://publications.waset.org/pdf/12586, title = {Applying Wavelet Entropy Principle in Fault Classification}, author = {S. El Safty and A. El-Zonkoly}, country = {}, institution = {}, abstract = {The ability to detect and classify the type of fault plays a great role in the protection of power system. This procedure is required to be precise with no time consumption. In this paper detection of fault type has been implemented using wavelet analysis together with wavelet entropy principle. The simulation of power system is carried out using PSCAD/EMTDC. Different types of faults were studied obtaining various current waveforms. These current waveforms were decomposed using wavelet analysis into different approximation and details. The wavelet entropy of such decompositions is analyzed reaching a successful methodology for fault classification. The suggested approach is tested using different fault types and proven successful identification for the type of fault.}, journal = {International Journal of Electrical and Computer Engineering}, volume = {2}, number = {4}, year = {2008}, pages = {584 - 586}, ee = {https://publications.waset.org/pdf/12586}, url = {https://publications.waset.org/vol/16}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 16, 2008}, }