An effective wavelet-based feature extraction method for classification of power quality disturbance signals

Author:

Uyar Murat,Yildirim Selcuk,Gencoglu Muhsin Tunay

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference28 articles.

1. A comparative study on effective signal processing tools for optimum feature selection in automatic power quality events clustering;Gargoom,2005

2. Wavelet-based neural network for power disturbance recognition and classification;Gaing;IEEE Trans. Power Deliv.,2004

3. Applications of the windowed FFT to electric power quality assessment;Heydt;IEEE Trans. Power Deliv.,1999

4. Feasibility of fractal-based methods for visualization of power system disturbances;Huang;Int. J. Elect. Power Energy Syst.,2001

5. Power quality analysis using S-transform;Dash;IEEE Trans. Power Deliv.,2003

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