IEEE Power Engineering Society General Meeting, 2005
DOI: 10.1109/pes.2005.1489187
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Feature selection for identification and classification of power quality disturbances

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Cited by 23 publications
(13 citation statements)
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“…Its main advantage is its ability to expand a signal in frequency domain while retaining time information [61]. Hence applications where both time and frequency is required, applies WT.…”
Section: Signal Processing Methodsmentioning
confidence: 99%
“…Its main advantage is its ability to expand a signal in frequency domain while retaining time information [61]. Hence applications where both time and frequency is required, applies WT.…”
Section: Signal Processing Methodsmentioning
confidence: 99%
“…In wavelets applications, Daubechies wavelet family is one of the most suitable wavelet families in analyzing power system transients as investigated in [9], [19], and [26]. In the present work, db1 wavelet has been used as the mother wavelet for extracting the energy content of the detail coefficient of voltage waveforms.…”
Section: Methodsmentioning
confidence: 99%
“…The WT extract the frequency components of the signal while preserving the time domain properties [26]. The theory of WT will be explained in the following section.…”
Section: Wavelet Transformmentioning
confidence: 99%
“…3d) showed a shoulder at 700 cm -1 . It was attributed from Zr-O bands of the monoclinic phase of zirconia [25]. Figure 4 depicts a top-view SEM micrograph of the prepared nanostructured zirconia coating in different conditions.…”
Section: Ft-ir Analysismentioning
confidence: 99%