Scientific Research Publishing

Design and Development of Wi-Fi and GPS-Based Smart Monitoring and Fault Detection System for Three-Phase Power Transmission Line Using Arduino ()

1 Faculty of Electrical Technology and Engineering (FTKE), Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. 2 Faculty of Electrical and Electronic Engineering (FKEE), Universiti Tun ...
IEEE

Application of Extreme Learning Machine for Shunt Faults Detection and Classification in Three-phase Transmission Line Systems

Abstract: The electrical power transmission lines play a crucial role in maintaining a continuous electricity supply. However, the exposed environment of these lines increases the risks of faults ...
Scientific Research Publishing

Kumar, A. (2024) Three Phase Transmission Line Fault Detection Using Arduino. International Journal for Research in Applied Science and Engineering Technology, 12, 4169-4183.

ABSTRACT: Rapid and accurate detection, classification, and localization (DCL) of faults in overhead transmission lines (TLs) are critical for minimizing downtime and enhancing power system resilience ...
GitHub

vaishnavi-vais/Transmission_line_fault_detection-

This project focuses on developing a machine learning model to classify various electrical fault types in a transmission line. The model utilizes voltage and current measurements as inputs to identify ...
IEEE

Fault Detection of Three-Phase Controlled Rectifiers Using Supervised Machine Learning Algorithms

Abstract: Power converters are integral to modern power systems and industrial applications, facilitating efficient and reliable energy transfer between sources and loads. However, their widespread ...