Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5243
Title: DSP implementation of the empirical wavelet transform for measurement of power quality indices
Authors: Umarikar, Amod C.
Jain, Trapti
Keywords: Digital arithmetic;Digital signal processors;Frequency estimation;Hardware;IEEE Standards;Power quality;Wavelet transforms;Digital Signal Processor (DSP);Empirical wavelet transform (EWT);Frequency components;Fundamental component;Fundamental frequencies;Hardware implementations;IEEE Standard 1459-2000;Power quality indices;Digital signal processing
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Thirumala, K., Umarikar, A. C., & Jain, T. (2018). DSP implementation of the empirical wavelet transform for measurement of power quality indices. Paper presented at the 2017 7th International Conference on Power Systems, ICPS 2017, 665-670. doi:10.1109/ICPES.2017.8387375
Abstract: The hardware implementation of Empirical Wavelet Transform (EWT) for the estimation of the IEEE Standard 1459-2000 definitions is presented in this paper. The estimation of single-phase power quality indices (PQIs) using the EWT technique is implemented on a floating point digital signal processor TMS320F28377S. The EWT decomposes the signal into its frequency components adaptively; however, the estimation of PQIs require only the fundamental and non-fundamental components. Therefore, the algorithm aims to extract only the fundamental frequency component accurately by designing an adaptive wavelet filter. The accuracy and practicality of the EWT-based PQIs measurement have been verified by testing on practical signals acquired in the laboratory. Experimental results of the DSP-based PQIs are compared with the results obtained from MATLAB in terms of computational time as well as accuracy. © 2017 IEEE.
URI: https://doi.org/10.1109/ICPES.2017.8387375
https://dspace.iiti.ac.in/handle/123456789/5243
ISBN: 9781538617892
Type of Material: Conference Paper
Appears in Collections:Department of Electrical Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: