An adaptive deep learning framework to classify unknown composite power quality event using known single power quality events

Author:

Sindi HatemORCID,Nour MajidORCID,Rawa MuhyaddinORCID,Öztürk ŞabanORCID,Polat KemalORCID

Funder

King Abdulaziz University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference65 articles.

1. Combined VMD-SVM based feature selection method for classification of power quality events;Abdoos;Applied Soft Computing,2016

2. Analysis of Nonstationary Power-Quality Waveforms Using Iterative Hilbert Huang Transform and SAX Algorithm;Afroni;IEEE Transactions on Power Delivery,2013

3. A LSTM-based deep learning method with application to voltage dip classification;Balouji,2018

4. Analysis of the EMG Signal During Cyclic Movements Using Multicomponent AM–FM Decomposition;Biagetti;IEEE Journal of Biomedical and Health Informatics,2015

5. Power Quality Disturbance Classification Using Fuzzy C-Means Algorithm and Adaptive Particle Swarm Optimization;Biswal;IEEE Transactions on Industrial Electronics,2009

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