Comments: Lightning Fault Classification for Transmission Line Using Support Vector Machine

Lightning Fault Classification for Transmission Line Using Support Vector Machine

Transmission lines are susceptible to a variety of phenomena that can cause system faults. The most prevalent cause of faults in the power system is lightning strikes, while other causes may include insulator failure, tree or crane encroachment. In this study, two machine learning algorithms, Suppor...

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Bibliographic Details
Main Authors:	Asman S.H., Aziz N.F.A., Kadir M.Z.A.A., Amirulddin U.A.U., Roslan N., Elsanabary A.
Other Authors:	57194493395
Format:	Conference Paper
Published:	Institute of Electrical and Electronics Engineers Inc. 2024
Subjects:	accuracy computational time k-Nearest Neighbor (k-NN) lightning fault Support Vector Machine (SVM) Electric lines Electric power transmission Learning algorithms MATLAB Motion compensation Nearest neighbor search Transmissions Accuracy Computational time Failure trees Fault classification K-near neighbor Lightning faults Lightning strikes Support vector machine Support vectors machine Transmission-line Support vector machines
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Lightning Fault Classification for Transmission Line Using Support Vector Machine

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