International Journal of Scientific and Research Publications

IJSRP, Volume 2, Issue 11, November 2012 Edition [ISSN 2250-3153]

Classification of Power Quality Disturbances using Features of Signals
      Subhamita Roy , Sudipta Nath
Abstract: This paper proposes a power quality disturbance classification technique based on the energy of the distorted signals. The multi-resolution analysis technique of DWT is employed on the distorted signals to extract the energy distribution features at different levels of resolution. To identify the different power quality disturbances the energy difference at each decomposition level is calculated with respect to the energy of the pure sinusoidal signal. Then probabilistic neural network is applied to classify the power quality disturbances. The simulation results validate the accuracy and efficiency of the proposed method.

Reference this Research Paper (copy & paste below code):

Subhamita Roy , Sudipta Nath (2018); Classification of Power Quality Disturbances using Features of Signals; Int J Sci Res Publ 2(11) (ISSN: 2250-3153).
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