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: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2013
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| Subjects: | |
| 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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| Summary: | 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. |
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