Open AccessFault Diagnosis for Transmission Lines Systems Using ANFIS Techniques
Author(s) -
Azriyenni Azhari Zakri
Publication year - 2018
Publication title -
international journal of electrical, energy and power system engineering
Language(s) - English
Resource type - Journals
ISSN - 2654-4644
DOI - 10.31258/ijeepse.1.1.17-20
Subject(s) - adaptive neuro fuzzy inference system , electric power transmission , fault (geology) , transmission line , transmission (telecommunications) , computer science , transmission system , electric power system , inference system , power transmission , reliability engineering , power (physics) , fuzzy logic , engineering , artificial intelligence , fuzzy control system , telecommunications , electrical engineering , physics , quantum mechanics , seismology , geology
This paper presents a fault diagnosis for long transmission lines using Adaptive Neuro-Fuzzy Inference System (ANFIS). The electric power transmission system is a link power generation and distribution. If a failure occurs as long the transmission line could be estimation caused of undesired fault power delivery to consumer come not go well. Therefore, it would need to provide an alternative solution to solve this problem. The objectives of this paper are classification and estimate of a fault into the transmission line by using application of ANFIS. The systems have been put forward and tested on simulated data transmission lines into different faults. The results test given to contribute to an alternate technique where it has good performance for fault diagnosis in the transmission lines.