A machine learning-based approach for comprehensive fault diagnosis in transmission lines
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering
Reference27 articles.
1. A review on fault classification methodologies in power transmission systems: Part—I;Prasad;J Electr Syst Inf Technol,2018
2. Fault detection and classification in transmission lines based on a PSD index;Guillen;IET Gener, Transm Distrib,2018
3. Self attention convolutional neural network with time series imaging based feature extraction for transmission line fault detection and classification;Fahim;Electr Power Syst Res,2020
4. New concept in fault location for overhead distribution systems using superimposed components;Aggarwal;IEE Proc, Gener Transm Distrib,1997
5. Fault classification and faulted phase selection based on the symmetrical components of reactive power for single-circuit transmission lines;Mahamedi;IEEE Trans Power Deliv,2013
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1. Fault-MTL: A Multi-task Deep Learning Approach for Simultaneous Fault Classification and Localization in Power Systems;Journal of Control, Automation and Electrical Systems;2024-08-11
2. Artificial Hummingbird Algorithm-based fault location optimization for transmission line;Journal of Engineering and Applied Science;2024-07-08
3. Enhancing Electrical Fault Detection in Transmission Lines Through Machine Learning;2024 IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES);2024-06-21
4. Multi‐view synergistic enhanced fault recording data for transmission line fault classification;IET Communications;2024-05-24
5. A Novel Attention Temporal Convolutional Network for Transmission Line Fault Diagnosis via Comprehensive Feature Extraction;Energies;2023-10-16
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