End to end machine learning for fault detection and classification in power transmission lines

2021 ◽  
Vol 199 ◽  
pp. 107430
Author(s):  
Fezan Rafique ◽  
Ling Fu ◽  
Ruikun Mai
Keyword(s):  
Machine Learning ◽  
Fault Detection ◽  
Transmission Lines ◽  
Power Transmission ◽  
Power Transmission Lines ◽  
Fault Detection And Classification ◽  
End To End

scholarly journals Evaluating the Impact of Pre-clustering and Class Imbalance on Solar Flare Forecasting

2018 ◽  
Author(s):  
Mirelle C. Bueno ◽  
Guilherme P. Coelho ◽  
Ana Estela A. Da Silva ◽  
André L. S. Gradvohl
Keyword(s):  
Machine Learning ◽  
Solar Flare ◽  
Transmission Lines ◽  
Solar Flares ◽  
Power Transmission ◽  
Class Imbalance ◽  
The Sun ◽  
Power Transmission Lines ◽  
Short Circuits ◽  
The Impact

Among the phenomena that occur on the surface of the Sun, solar flares may cause several damages, from short circuits in power transmission lines to complete interruptions in telecommunications systems. In order to mitigate these effects, many works have been dedicated to the proposal of mechanisms capable of predicting the occurrence of solar flares. In this context, the present work sought to evaluate two aspects related to machine learning-based solar flare forecasting: (i) the impact of class imbalance in training datasets on the performance of the predictors; and (ii) whether the incorporation of a pre-clustering step prior to the classifiers training contributes to a better prediction.

Machine Learning Approach to Detect Faults in Anchor Rods of Power Transmission Lines

2019 ◽  
Vol 18 (11) ◽  
pp. 2335-2339 ◽  
Author(s):  
Douglas Contente Pimentel Barbosa ◽  
Vinicius Leal Tarrago ◽  
Luiz Henrique Alves de Medeiros ◽  
Marcos Tavares de Melo ◽  
Lauro Rodrigo Gomes da Silva Lourenco Novo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Transmission Lines ◽  
Power Transmission ◽  
Learning Approach ◽  
Power Transmission Lines ◽  
Machine Learning Approach
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