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...

Full description

Bibliographic Details
Main Authors: Abdullah, Abdul Rahim, Mohd Saad , Norhashimah
Format: Conference or Workshop Item
Language:English
Published: 2007
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/4496/
http://eprints.utem.edu.my/id/eprint/4496/1/2007_Power_Quality_Analysis_Using_Spectrogram_and_Gabor_Transformation.pdf
_version_ 1848887038001020928
author Abdullah, Abdul Rahim
Mohd Saad , Norhashimah
author_facet Abdullah, Abdul Rahim
Mohd Saad , Norhashimah
author_sort Abdullah, Abdul Rahim
building UTeM Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T19:48:02Z
format Conference or Workshop Item
id utem-4496
institution Universiti Teknikal Malaysia Melaka
institution_category Local University
language English
last_indexed 2025-11-15T19:48:02Z
publishDate 2007
recordtype eprints
repository_type Digital Repository
spelling utem-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/
http://eprints.utem.edu.my/id/eprint/4496/
http://eprints.utem.edu.my/id/eprint/4496/1/2007_Power_Quality_Analysis_Using_Spectrogram_and_Gabor_Transformation.pdf