Use of Wavelet Transform and Generalized Regression Neural Network (GRNN) to the Characterization of Short-Duration Voltage Variation in Electric Power System.

@article{Machado2009UseOW,
  title={Use of Wavelet Transform and Generalized Regression Neural Network (GRNN) to the Characterization of Short-Duration Voltage Variation in Electric Power System.},
  author={R. N. das Merces Machado and U. H. Bezerra and E. G. Pelaes and R. C. L. de Oliveira and M. E. de Lima Tostes},
  journal={IEEE Latin America Transactions},
  year={2009},
  volume={7}
}
This work presents the use of the wavelet transform and computational intelligence techniques to quantify voltage short-duration variation in electric power systems, with respect to time duration and magnitude. The wavelet transform is used to determine the event duration, as well as for obtaining a characteristic curve relating the signal norm as function of the number of cycles for a waveform without disturbance that is used as reference for the calculation of the magnitude of the event. A… CONTINUE READING