Optimal feature selection for classification of power quality disturbances using wavelet packet-based fuzzy k-nearest neighbour algorithm-Reference-Cited by-同舟云学术

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Optimal feature selection for classification of power quality disturbances using wavelet packet-based fuzzy k-nearest neighbour algorithm

Published:2009-03-01 Issue:3 Volume:3 Page:296-306
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:

Author:

Panigrahi B.K.,Pandi V.R.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://digital-library.theiet.org/content/journals/10.1049/iet-gtd_20080190?crawler=true&mimetype=application/pdf

Reference32 articles.

1. Bollen, M.H.J.: ‘Understanding power quality problems: Voltage Sags and Interruptions’, (IEEE Press 1999)

2. The wavelet transform, time-frequency localization and signal analysis

3. A theory for multiresolution signal decomposition: the wavelet representation

4. Meyer, Y.: ‘Wavelets and operators’, (Cambridge University Press, London, UK 1992)

5. Power quality assessment via wavelet transform analysis

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