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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2007
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| 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 |
| Summary: | 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. |
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