Application of Extreme Learning Machine for Shunt Faults Detection and Classification in Three-phase Transmission Line Systems
Author:
Affiliation:
1. University of Tunis El Manar, National Engineering School of Tunis, LR11ES20 Analysis, Design and Control of Systems Laboratory,Tunis,Tunisia,1002
Funder
National Engineering School of Tunis
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10527407/10527456/10527552.pdf?arnumber=10527552
Reference14 articles.
1. Power System Reliability in Distributed Generation Environment: A Review
2. Modelling and simulation of symmetrical and unsymmetrical faults on 14 bus IEEE-power systems;Junaidi;Journal of Theoretical and Applied Information Technology,2021
3. Development of Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Based Techniques and Algorithms for Protection of Transmission Line
4. A comparative analysis of artificial neural network- based power transmission line fault classifiers;Aborisade;American Journal of Engineering Research (AJER),2021
5. Study of Transmission Line Boundary Protection Using a Multilayer Perceptron Neural Network with Back Propagation and Wavelet Transform
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