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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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 |
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TK Electrical engineering. Electronics Nuclear engineering Abdullah, Abdul Rahim Mohd Saad , Norhashimah Power quality analysis using spectrogram and gabor transformation |
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 |
author |
Abdullah, Abdul Rahim Mohd Saad , Norhashimah |
author_facet |
Abdullah, Abdul Rahim Mohd Saad , Norhashimah |
author_sort |
Abdullah, Abdul Rahim |
title |
Power quality analysis using spectrogram and gabor transformation |
title_short |
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_sort |
power quality analysis using spectrogram and gabor transformation |
publishDate |
2007 |
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 |
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1665905286064373760 |
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13.160551 |