High impedance fault detection in medium voltage distribution network using discrete wavelet transform and adaptive neuro-fuzzy inference system

High impedance fault detection in medium voltage distribution network using discrete wavelet transform and adaptive neuro-fuzzy inference system

This paper presents a method to detect and classify the high impedance fault that occur in the medium voltage distribution network using discrete wavelet transform (DWT) and adaptive neuro-fuzzy inference system (ANFIS). The network is designed using Matlab software and various faults such as high i...

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Bibliographic Details
Main Authors: Veerasamy, Veerapandiyan, Abdul Wahab, Noor Izzri, Ramachandran, Rajeswari, Mansoor, Muhammad, Thirumeni, Mariammal
Format: Article
Language:English
Published: MDPI 2018
Online Access:http://psasir.upm.edu.my/id/eprint/74504/1/High%20impedance%20fault%20detection%20in%20medium%20voltage%20distribution%20network%20using%20discrete%20wavelet%20transform%20and%20adaptive%20neuro-fuzzy%20inference%20system.pdf

Internet

http://psasir.upm.edu.my/id/eprint/74504/1/High%20impedance%20fault%20detection%20in%20medium%20voltage%20distribution%20network%20using%20discrete%20wavelet%20transform%20and%20adaptive%20neuro-fuzzy%20inference%20system.pdf

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