CNN / Bi‐LSTM‐based deep learning algorithm for classification of power quality disturbances by using spectrogram images
Author:
Affiliation:
1. Department of Computer Engineering Bandırma Onyedi Eylül University Bandırma Turkey
2. Department of Electrical Engineering Bandırma Onyedi Eylül University Bandırma Turkey
Funder
British Association for Psychopharmacology
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.13204
Reference48 articles.
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4. An independent component analysis classification for complex power quality disturbances with sparse auto encoder features;Shi X;IEEE Access,2019
5. Power quality disturbance classification based on time‐frequency domain multi‐feature and decision tree;Zhao W;Prot Control Mod Power Syst,2019
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