Classification of high frequency transient events buried in low frequency sampled PMU data

Author:

Gök Görkem1,Salor Özgül1,Taplamacıoğlu Müslüm Cengiz1

Affiliation:

1. Gazi University,Faculty of Engineering,Dept. of Electrical and Electronics Engineering,Ankara,Turkey

Publisher

IEEE

Reference15 articles.

1. Image Embedding of PMU Data for Deep Learning Towards Transient Disturbance Classification

2. Encoding Time Series as Images for Visual Inspection and Classification Using Tiled Convolutional Neural Networks;wang;2015 AAAI Workshop,0

3. Transient event classification using pmu data with deep learning techniques and synthetically supported training-set;gök;IET Gener Transm Distrib,2023

4. DenseNet based speech imagery EEG signal classification using Gramian Angular Field;islam;Proceedings of the 5th International Conference on Advances in Electrical Engineering (ICAEE),2020

5. Deep learning model to detect various synchrophasor data anomalies

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