High-impedance fault detection in medium-voltage distribution network using computational intelligence-based classifiers

High-impedance fault detection in medium-voltage distribution network using computational intelligence-based classifiers

This paper presents the high-impedance fault (HIF) detection and identification in medium-voltage distribution network of 13.8 kV using discrete wavelet transform (DWT) and intelligence classifiers such as adaptive neuro-fuzzy inference system (ANFIS) and support vector machine (SVM). The three-phas...

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Bibliographic Details
Main Authors: Veerapandiyan, Veerasamy, Abdul Wahab, Noor Izzri, Ramachandran, Rajeswari, Mariammal, Thirumeni, Subramaniam, Chitra, Othman, Mohammad Lutfi, Hizam, Hashim
Format: Article
Language:English
Published: Springer 2019
Online Access:http://psasir.upm.edu.my/id/eprint/80066/1/High-impedance%20fault%20detection%20in%20medium-voltage%20distribution%20network%20using%20computational%20intelligence-based%20classifiers.pdf

Internet

http://psasir.upm.edu.my/id/eprint/80066/1/High-impedance%20fault%20detection%20in%20medium-voltage%20distribution%20network%20using%20computational%20intelligence-based%20classifiers.pdf

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