Enhanced complex wire fault diagnosis via integration of time domain reflectometry and particle swarm optimization with least square support vector machine

Enhanced complex wire fault diagnosis via integration of time domain reflectometry and particle swarm optimization with least square support vector machine

Abstract Urban power systems rely on intricate wire networks, known as the power grid, which form the essential electric infrastructure in cities. While these networks transmit electricity from power plants to consumers, they are vulnerable to faults caused by manufacturing errors and improper insta...

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Bibliographic Details
Main Authors: Abderrzak Laib, Mohamed Chelabi, Yacine Terriche, Mohammed Melit, Hamza Boudjefdjouf, Hafiz Ahmed, Zakaria Chedjara
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:IET Science, Measurement & Technology
Subjects:
fault diagnosis
time‐domain reflectometry
Online Access:https://doi.org/10.1049/smt2.12187

Internet

https://doi.org/10.1049/smt2.12187

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