88 / 2017-03-13 19:40:07
Classification of multiple power quality disturbances based on wavelet threshold denoising
multipe power quality disturbance,wavelet threshold denoisiing,4185,classification accuracy
终稿
zhao quan / Northeast Electric Power University
long yan long / Northeast Electric Power University
This paper studies the application of wavelet threshold denoising method in the classification of power quality disturbance. In the process of feature extraction of multiple power quality disturbance, wavelet threshold denoising is used to deal with the complex disturbance signal, then the extracted features are input to the support vector machine to classify the multiple power quality disturbances. Through analysis the classification accuracy of signal that extract feature directly and using wavelet threshold denoising, we can conclude that the classification accuracy of power quality disturbance using wavelet threshold denoising method improved
重要日期
  • 会议日期

    04月06日

    2017

    04月08日

    2017

  • 03月26日 2017

    初稿截稿日期

  • 03月29日 2017

    初稿录用通知日期

  • 04月01日 2017

    终稿截稿日期

  • 04月08日 2017

    注册截止日期

主办单位
Bharath Institute of Higher Education and Research
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