Open Science Research Excellence
@article{(International Science Index):,
  title    = {Wavelet Transform and Support Vector Machine Approach for Fault Location in Power Transmission Line},
  author    = {V. Malathi and  N.S.Marimuthu},
  country   = {},
  abstract  = {This paper presents a wavelet transform and Support
Vector Machine (SVM) based algorithm for estimating fault location
on transmission lines. The Discrete wavelet transform (DWT) is used
for data pre-processing and this data are used for training and testing
SVM. Five types of mother wavelet are used for signal processing to
identify a suitable wavelet family that is more appropriate for use in
estimating fault location. The results demonstrated the ability of SVM
to generalize the situation from the provided patterns and to
accurately estimate the location of faults with varying fault resistance.},
    journal   = {International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering},  volume    = {4},
  number    = {3},
  year      = {2010},
  pages     = {512 - 517},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 39, 2010},