Wavelet based flickermeter
Wavelet Transform has been touted as an excellent signal processing technique for analyzing time-varying signal. It is challenging the well known Fourier-based technique, which is generally regarded as only suitable for stationary signal. Varying loads such as arc-furnaces and welding operations usu...
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sg-ntu-dr.10356-43172023-07-04T15:57:53Z Wavelet based flickermeter Guntupalli Ignatius Marien Sanjay. Chen, Shiun School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems Wavelet Transform has been touted as an excellent signal processing technique for analyzing time-varying signal. It is challenging the well known Fourier-based technique, which is generally regarded as only suitable for stationary signal. Varying loads such as arc-furnaces and welding operations usually cause voltage fluctuation that leads to light flickering. As a result, the voltage magnitude will vary constantly and it appears that Wavelet Transform would be an ideal technique for detecting this fluctuation. Currently, short-time Fourier Transform is the favored method but with its fixed time and frequency resolutions, it is known to suffer from spectral leakages that distort the measurements, especially if the signal is varying. This dissertation explores the use of Wavelet technique to overcome this deficiency. Master of Science (Signal Processing) 2008-09-17T09:49:11Z 2008-09-17T09:49:11Z 2004 2004 Thesis http://hdl.handle.net/10356/4317 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems Guntupalli Ignatius Marien Sanjay. Wavelet based flickermeter |
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Wavelet Transform has been touted as an excellent signal processing technique for analyzing time-varying signal. It is challenging the well known Fourier-based technique, which is generally regarded as only suitable for stationary signal. Varying loads such as arc-furnaces and welding operations usually cause voltage fluctuation that leads to light flickering. As a result, the voltage magnitude will vary constantly and it appears that Wavelet Transform would be an ideal technique for detecting this fluctuation. Currently, short-time Fourier Transform is the favored method but with its fixed time and frequency resolutions, it is known to suffer from spectral leakages that distort the measurements, especially if the signal is varying. This dissertation explores the use of Wavelet technique to overcome this deficiency. |
author2 |
Chen, Shiun |
author_facet |
Chen, Shiun Guntupalli Ignatius Marien Sanjay. |
format |
Theses and Dissertations |
author |
Guntupalli Ignatius Marien Sanjay. |
author_sort |
Guntupalli Ignatius Marien Sanjay. |
title |
Wavelet based flickermeter |
title_short |
Wavelet based flickermeter |
title_full |
Wavelet based flickermeter |
title_fullStr |
Wavelet based flickermeter |
title_full_unstemmed |
Wavelet based flickermeter |
title_sort |
wavelet based flickermeter |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/4317 |
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1772827465903767552 |