Power quality analysis using spectrogram and gabor transformation

This paper discusses the implementation of time-frequency analysis techniques to analyze power quality disturbances. The approached methods are spectrogram and Gabor transform algorithms. Signal parameters such as time marginal and frequency marginal are extracted from the time-frequency...

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Main Authors: Abdullah, Abdul Rahim, Mohd Saad , Norhashimah
Format: Conference or Workshop Item
Language:en
Published: 2007
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/4496/1/2007_Power_Quality_Analysis_Using_Spectrogram_and_Gabor_Transformation.pdf
http://eprints.utem.edu.my/id/eprint/4496/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4603964&tag=1
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author Abdullah, Abdul Rahim
Mohd Saad , Norhashimah
author_facet Abdullah, Abdul Rahim
Mohd Saad , Norhashimah
author_sort Abdullah, Abdul Rahim
building UTEM Library
collection Institutional Repository
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
continent Asia
country Malaysia
description This paper discusses the implementation of time-frequency analysis techniques to analyze power quality disturbances. The approached methods are spectrogram and Gabor transform algorithms. Signal parameters such as time marginal and frequency marginal are extracted from the time-frequency distributions. The parameters are analyzed in terms of correctness measurement of root mean square (RMS), total harmonic distortion (THD), total waveform distortion (TWD) and total interharmonic distortion (TnHD) values. Power quality events that are analyzed are swell, sag, interruption, harmonic, interharmonic, transient, notching and normal voltage. The results show that Gabor transform provides better performance in terms of correctness of parameters measurement, window length, frequency resolution and memory size.
format Conference or Workshop Item
id my.utem.eprints-4496
institution Universiti Teknikal Malaysia Melaka
language en
publishDate 2007
record_format eprints
spelling my.utem.eprints-44962015-05-28T03:25:40Z http://eprints.utem.edu.my/id/eprint/4496/ Power quality analysis using spectrogram and gabor transformation Abdullah, Abdul Rahim Mohd Saad , Norhashimah TK Electrical engineering. Electronics Nuclear engineering This paper discusses the implementation of time-frequency analysis techniques to analyze power quality disturbances. The approached methods are spectrogram and Gabor transform algorithms. Signal parameters such as time marginal and frequency marginal are extracted from the time-frequency distributions. The parameters are analyzed in terms of correctness measurement of root mean square (RMS), total harmonic distortion (THD), total waveform distortion (TWD) and total interharmonic distortion (TnHD) values. Power quality events that are analyzed are swell, sag, interruption, harmonic, interharmonic, transient, notching and normal voltage. The results show that Gabor transform provides better performance in terms of correctness of parameters measurement, window length, frequency resolution and memory size. 2007-12-04 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/4496/1/2007_Power_Quality_Analysis_Using_Spectrogram_and_Gabor_Transformation.pdf Abdullah, Abdul Rahim and Mohd Saad , Norhashimah (2007) Power quality analysis using spectrogram and gabor transformation. In: Asia-Pacific Conference on Applied Electromagnetics, 2007. APACE 2007, 4 december 2007, Melaka. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4603964&tag=1
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Abdullah, Abdul Rahim
Mohd Saad , Norhashimah
Power quality analysis using spectrogram and gabor transformation
title Power quality analysis using spectrogram and gabor transformation
title_full Power quality analysis using spectrogram and gabor transformation
title_fullStr Power quality analysis using spectrogram and gabor transformation
title_full_unstemmed Power quality analysis using spectrogram and gabor transformation
title_short Power quality analysis using spectrogram and gabor transformation
title_sort power quality analysis using spectrogram and gabor transformation
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utem.edu.my/id/eprint/4496/1/2007_Power_Quality_Analysis_Using_Spectrogram_and_Gabor_Transformation.pdf
http://eprints.utem.edu.my/id/eprint/4496/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4603964&tag=1
url_provider http://eprints.utem.edu.my/