Robust fault detection and classification in power transmission lines via ensemble machine learning models

Robust fault detection and classification in power transmission lines via ensemble machine learning models

Abstract Transmission lines are vital for delivering electricity over long distances, yet they face reliability challenges due to faults that can disrupt power supply and pose safety risks. This research introduces a novel approach for fault detection and classification by analyzing voltage and curr...

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Bibliographic Details
Main Authors: Tahir Anwar, Chaoxu Mu, Muhammad Zain Yousaf, Wajid Khan, Saqib Khalid, Ahmad O. Hourani, Ievgen Zaitsev
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Transmission lines
Fault detection
Machine learning
Ensemble learning
Power stability
Online Access:https://doi.org/10.1038/s41598-025-86554-2
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