Classification of Power Quality Disturbances via Deep Learning
Author:
Affiliation:
1. Center of Metrology, Jiangxi Electric Power Research Institute, State Grid Corporation of China, Nanchang, China
2. Department of Electronic Information Engineering, Nanchang University, Nanchang, China
Funder
Creative Fund for Graduate Students in Jiangxi Province, China
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/02564602.2016.1196620
Reference24 articles.
1. Optimal Feature Selection for Power-Quality Disturbances Classification
2. Wavelet-based feature extraction and selection for classification of power system disturbances using support vector machines
3. A new algorithm for automatic classification of power quality events based on wavelet transform and SVM
4. An expert system based on S-transform and neural network for automatic classification of power quality disturbances
5. Detection and Classification of Power Quality Disturbances Using S-Transform and Probabilistic Neural Network
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