EMPIRICAL MODE DECOMPOSITION WITH ANALYTIC SIGNAL FOR POWERQUALITY ASSESSMENT

Abstract

Abstract This thesis presents a wavelet transform method in combination with emprical mode decomposition (EMD) for power quality (PQ) events assesment. EMD is a time frequency analysis that decomposes the complex signals into several instrinsic mode functions(IMF). As the PQ events are nonstationary, instantaneous parameters have been extracted from these IMFs. We extracted three parameters from IMFs and then used KNN classifier for assesment of PQ disturbance. We compared the assesment of PQ events by extracting the features using Hilbert transform method. A maximum classification accuracy of 97.25 % in both the cases (Wavelet transform method and Hilbert transform method). x