Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Improved Fault Classification and Localization in Power Transmission Networks using VAE-generated Synthetic Data and Machine Learning Algorithms

Version 1 : Received: 14 September 2023 / Approved: 14 September 2023 / Online: 15 September 2023 (04:54:55 CEST)

A peer-reviewed article of this Preprint also exists.

Khan, M.A.; Asad, B.; Vaimann, T.; Kallaste, A.; Pomarnacki, R.; Hyunh, V.K. Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms. Machines 2023, 11, 963. Khan, M.A.; Asad, B.; Vaimann, T.; Kallaste, A.; Pomarnacki, R.; Hyunh, V.K. Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms. Machines 2023, 11, 963.

Abstract

Keywords: Electrical power systems, Support vector machines, Random Forest, Machine learning, Wavelet transform, Transmission lines fault, Electrical power quality, Short circuit, Classification of faults, Localization of faults, Decision trees, Ensemble learning, K-nearest neighbors.

Keywords

Electrical power systems; Support vector machines; random Forest; machine learning; wavelet transform; transmission lines fault; Electrical power quality; short circuit; Classification of faults; localization of faults; decision trees; Ensemble learning; K-nearest neighbors

Subject

Engineering, Electrical and Electronic Engineering

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