Fault identification and classification algorithm for high voltage transmission lines based on a fuzzy-neuro-fuzzy approach

Author:

Elnozahy Ahmed1,Mohamed Moayed2,Sayed Khairy3ORCID,Bahyeldin Mohamed4,Mohamed Shazly A.5ORCID

Affiliation:

1. Electrical Engineering Department, Faculty of Engineering, Assiut University, Egypt

2. Electrical Department, Faculty of Technology and Education, Sohag University, Sohag, Egypt

3. Electrical Engineering Department, Faculty of Engineering, Sohag University, Sohag, Egypt

4. Control and communication sector, Middle Egypt Electricity Distribution Assiut, Egypt

5. Department of Electrical Engineering, Faculty of Engineering, South Valley University, Qena, Egypt

Funder

no external funding

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Mechanics of Materials,Modeling and Simulation,Software

Reference28 articles.

1. Fault Detection and Classification for Transmission Line Protection System Using Artificial Neural Network

2. Fault detection and classification in transmission line using dwt and ANFIS techniques;Latha Mercy E;Adv Electr Electron Eng,2014

3. Faults detection in power system using artificial neural network;Bashier Tayeb E;Am J Eng Res,2013

4. Fault detection and location of power transmission lines using intelligent distance relay

5. Location of Faults in Power Transmission Lines Using the ARIMA Method

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