BibTeX:

@article{IJIRSTV1I9028,
     title={A Comparison of Different Mother Wavelet For Fault Detection & Classification of Series Compensated Transmission Line},
     author={Nitin Uttam Gawali, Prof. R. P. Hasabe and Prof. Dr.A. P Vaidya},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={9},
     pages={57--63},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I9028.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

This paper proposes a Comparison for Different Mother Wavelet For Fault Detection & Classification of Series Compensated Transmission Line. Voltages and currents with fault signal can be properly analyzed by using the wavelet transform. However, the effectiveness of the wavelet analysis is largely influenced by the choice of the mother wavelet. This paper evaluates seven different mother wavelets: Haar, Daubechies, Symlets, Coiflet, BiorSplines, Reverse BiorSplines, Meyer families. Fault Detection & Classification is done on the basis of % Energy of Current Signal. The Matlab Wavelet Toolbox is used for Calculation of % Energy of Current signal.

Haar, Daubechies, Symlets, Coiflet , BiorSplines ,Reverse BiorSplines, Meyer