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http://dx.doi.org/10.5573/IEIESPC.2015.4.5.330

DWT-based Denoising and Power Quality Disturbance Detection  

Ramzan, Muhammad (Department of Information, Communications, and Electronics Engineering, The Catholic University of Korea)
Choe, Sangho (Department of Information, Communications, and Electronics Engineering, The Catholic University of Korea)
Publication Information
IEIE Transactions on Smart Processing and Computing / v.4, no.5, 2015 , pp. 330-339 More about this Journal
Abstract
Power quality (PQ) problems are becoming a big issue, since delicate complex electronic devices are widely used. We present a new denoising technique using discrete wavelet transform (DWT), where a modified correlation thresholding is used in order to reliably detect the PQ disturbances. We consider various PQ disturbances on the basis of IEEE-1159 standard over noisy environments, including voltage swell, voltage sag, transient, harmonics, interrupt, and their combinations. These event signals are decomposed using DWT for the detection of disturbances. We then evaluate the PQ disturbance detection ratio of the proposed denoising scheme over Gaussian noise channels. Simulation results also show that the proposed scheme has an improved signal-to-noise ratio (SNR) over existing scheme.
Keywords
Discrete wavelet transform (DWT); Power quality disturbances; Thresholding; Denoising; Detec;
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