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Power Quality Signals Detection Using S-Transform

Power quality has become very important issue over the last decade. Poor quality can cause equipment failure, data and economical. An automated monitoring system is needed to ensure signal quality, reduces diagnostic time and rectifies failures. In this paper, S-transform is used to analyze the...

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Main Authors: ahmad, Nur Hafizatul Tul Huda, Abdullah, Abdul Rahim, JOPRI, MOHD HATTA
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utem.edu.my/id/eprint/9461/2/2013_Paper_Power_Quality_Signals_Detection_Using_S-Transform.pdf
http://eprints.utem.edu.my/id/eprint/9461/
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6564609&queryText%3DPower+Quality+Signals+Detection+Using+S-Transform
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spelling my.utem.eprints.94612015-05-28T04:04:12Z http://eprints.utem.edu.my/id/eprint/9461/ Power Quality Signals Detection Using S-Transform ahmad, Nur Hafizatul Tul Huda Abdullah, Abdul Rahim JOPRI, MOHD HATTA TK Electrical engineering. Electronics Nuclear engineering Power quality has become very important issue over the last decade. Poor quality can cause equipment failure, data and economical. An automated monitoring system is needed to ensure signal quality, reduces diagnostic time and rectifies failures. In this paper, S-transform is used to analyze the power quality signals such as swell, sag, interruption, harmonic, interharmonic and transient based on IEEE Std. 1159-2009 to detect, localize and classify the disturbance. The S-transform is used to represent the signals in time-frequency representation (TFR). ).To get an accurate TFR, the parameters are estimated to identify the signal characteristics. The signal characteristics are the root means square voltage (Vrms), total harmonic distortion (THD), total non harmonic distortion (TnHD) and total waveform distortion (TWD). To verify the performance of Stransform several sets of data with different time duration are analyzed to determine the accuracy of S-transform. The lowest value of mean absolute percentage error (MAPE) gives the highest accuracy to provide the best performance of TFD. 2013-06-03 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/9461/2/2013_Paper_Power_Quality_Signals_Detection_Using_S-Transform.pdf ahmad, Nur Hafizatul Tul Huda and Abdullah, Abdul Rahim and JOPRI, MOHD HATTA (2013) Power Quality Signals Detection Using S-Transform. In: Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International, 3 june 2013, Langkawi Island, Malaysia. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6564609&queryText%3DPower+Quality+Signals+Detection+Using+S-Transform
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
ahmad, Nur Hafizatul Tul Huda
Abdullah, Abdul Rahim
JOPRI, MOHD HATTA
Power Quality Signals Detection Using S-Transform
description Power quality has become very important issue over the last decade. Poor quality can cause equipment failure, data and economical. An automated monitoring system is needed to ensure signal quality, reduces diagnostic time and rectifies failures. In this paper, S-transform is used to analyze the power quality signals such as swell, sag, interruption, harmonic, interharmonic and transient based on IEEE Std. 1159-2009 to detect, localize and classify the disturbance. The S-transform is used to represent the signals in time-frequency representation (TFR). ).To get an accurate TFR, the parameters are estimated to identify the signal characteristics. The signal characteristics are the root means square voltage (Vrms), total harmonic distortion (THD), total non harmonic distortion (TnHD) and total waveform distortion (TWD). To verify the performance of Stransform several sets of data with different time duration are analyzed to determine the accuracy of S-transform. The lowest value of mean absolute percentage error (MAPE) gives the highest accuracy to provide the best performance of TFD.
format Conference or Workshop Item
author ahmad, Nur Hafizatul Tul Huda
Abdullah, Abdul Rahim
JOPRI, MOHD HATTA
author_facet ahmad, Nur Hafizatul Tul Huda
Abdullah, Abdul Rahim
JOPRI, MOHD HATTA
author_sort ahmad, Nur Hafizatul Tul Huda
title Power Quality Signals Detection Using S-Transform
title_short Power Quality Signals Detection Using S-Transform
title_full Power Quality Signals Detection Using S-Transform
title_fullStr Power Quality Signals Detection Using S-Transform
title_full_unstemmed Power Quality Signals Detection Using S-Transform
title_sort power quality signals detection using s-transform
publishDate 2013
url http://eprints.utem.edu.my/id/eprint/9461/2/2013_Paper_Power_Quality_Signals_Detection_Using_S-Transform.pdf
http://eprints.utem.edu.my/id/eprint/9461/
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6564609&queryText%3DPower+Quality+Signals+Detection+Using+S-Transform
_version_ 1665905401689800704
score 13.211869

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