Power Quality Disturbance Classification Using the S-Transform and Probabilistic Neural Network-Reference-Cited by-同舟云学术

Power Quality Disturbance Classification Using the S-Transform and Probabilistic Neural Network

Published:2017-01-17 Issue:1 Volume:10 Page:107
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Wang Huihui,Wang Ping,Liu Tao

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Link

http://www.mdpi.com/1996-1073/10/1/107/pdf

Reference29 articles.

1. Classification of power quality events – A review

2. Time-frequency and time-scale domain analysis of voltage disturbances

3. Nonstationary power signal time series data classification using LVQ classifier

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

5. An expert system based on S-transform and neural network for automatic classification of power quality disturbances

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