Journal ArticleOpen Access
Fast and Accurate Fault Detection and Classification in Transmission Lines using Extreme Learning Machine
Author Affiliations
Rajshahi University of Engineering and Technology, Qatar University, University of York, Manchester Metropolitan University, ...
Published Ine-Prime - Advances in Electrical Engineering Electronics and Energy
Year2023
Citations79
Abstract
To provide stability and a continuous supply of power, the detection and classification of faults in the transmission lines (TLs) are crucial in this modern age. It is required to remove a faulty section from a healthy section to provide safety and to minimize power loss due to the fault. In the contemporary world, machine learning (ML) is extensively used in every aspect of life. In this study, a spontaneous fault detection (FD) and fault classification (FC) system based on ML has been proposed. MATLAB Simulink was employed to simulate two different TLs and to generate normal and fault data (Per unit voltage and current) of ten different types. TL-1 consisted of a single generator and a single load whereas…
View at Publisher
BORR does not host full-text PDFs. The button above takes you to the original publisher.