Application of Machine Learning in Fault Detection And Classification in Power Transmission Lines

Application of Machine Learning in Fault Detection And Classification in Power Transmission Lines

Electrical faults have been identified as a significant contributing factor to electrical equipment damage. Such incidents can potentially result in a range of adverse consequences, including bushfires, electrical outages, and power shortages. The detection and classification of faults facilitates t...

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Bibliographic Details
Main Authors: Michel Evariste Tshodi, Nathanael Kasoro, Freddy Keredjim, ALbert Ntumba Nkongolo, Jean-Jacques Katshitshi Matondo, Paul Mbuyi Balowe, Laurent Kitoko
Format: Article
Language:English
Published: Pusat Penelitian dan Pengabdian Masyarakat (P3M), Politeknik Negeri Cilacap 2024-12-01
Series:Journal of Innovation Information Technology and Application
Subjects:
fault detection
analytical models
machine learning algorithms
power transmission lines
electrical faults detection
Online Access:https://ejournal.pnc.ac.id/index.php/jinita/article/view/2424
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