Performance improvement of power quality disturbance classification based on a new de-noising technique

@article{Hu2007PerformanceIO,
  title={Performance improvement of power quality disturbance classification based on a new de-noising technique},
  author={Wei Hu and Kai Cheng Li and Dang Jun Zhao and Bing Xie},
  journal={2007 International Conference on Electrical Machines and Systems (ICEMS)},
  year={2007},
  pages={1806-1810}
}
Identification, localization and classification of power quality disturbance is the precondition of appropriate mitigation actions that can be taken. However, the signal under investigation is often corrupted by noises, especially the ones with high frequency signal produced by EMI. A new de-noising method is proposed to improve the classification performance for power quality disturbance. The proposed method first estimate the threshold of different decomposition level of wavelet transform for… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 10 references

The Classification of power system disturbance waveforms using a neural network approach

  • E. J. Powers Santoso, W. M. Grady, A. C. Parsons
  • IEEE Trans . Power Del .
  • 1995

Power quality disturbance waveform recognition using wavelet - based neural classifier - part II : Application

  • M. Negnevitsky J. Huang, D. T. Nguyen
  • IEEE Trans . Power Del .

Power quality disturbance waveform recognition using wavelet - based neural classifierpart I : Theoretical foundation

  • E. J. Powers Santoso, W. M. Grady, A. C. Parsons
  • IEEE Trans . Power Del .

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