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Classification of Voltage Sag Causes using Probabilistic Neural Network and Hilbert – Huang Transform
2010
International Journal of Computer Applications
Any power quality disturbance waveform can be seen as superimposition of various oscillating modes. It becomes necessary to separate different components of single frequency or narrow band of frequencies from a non stationary signal to identify the causes which contribute to power quality disturbances. In this paper a method is proposed to detect and classify voltage sag causes based on Empirical Mode Decomposition (EMD) with Hilbert Transform ( called Hilbert-Huang Transform) and Probabilistic
doi:10.5120/427-630
fatcat:qcz25yo7inge5pos7dlyj7boj4