Sudipta Majumdar and Amarendra Kumar Mishra
Empirical Mode Decomposition with Wavelet Transform Based Analytic Signal for Power Quality Assessment
329 - 334
2018
12
4
International Journal of Electronics and Communication Engineering
https://publications.waset.org/pdf/10009005
https://publications.waset.org/vol/136
World Academy of Science, Engineering and Technology
This paper proposes empirical mode decomposition
(EMD) together with wavelet transform (WT) based analytic signal
for power quality (PQ) events assessment. EMD decomposes the
complex signals into several intrinsic mode functions (IMF). As
the PQ events are non stationary, instantaneous parameters have
been calculated from these IMFs using analytic signal obtained
form WT. We obtained three parameters from IMFs and then used
KNN classifier for classification of PQ disturbance. We compared
the classification of proposed method for PQ events by obtaining
the features using Hilbert transform (HT) method. The classification
efficiency using WT based analytic method is 97.5 and using HT
based analytic signal is 95.5.
Open Science Index 136, 2018