CURRENT ISSUE (PROCESSING)VOLUME 5 ISSUE 07 FEBRUARY 2017

Review on Diagnosis of Electricity Transmission lines using Detection, Classification and Localization of Defects
Abstract: The main objective of this paper is to study of the diagnosis of electricity transmission lines. Detection, classification and localization of defects were carried out using artificial neural networks (ANN) based on two different applications: a simple three-phase transmission line and a double circuit transmission line. The proposed method uses voltage and current signals at both ends of the line. The models of the two applications were developed with the MATLAB / Simulink software. The effects of the variations of the parameters of the electrical network, for example: the fault resistance, the fault type and the fault distance have been studied and their impact on the performance of the ANN based protection system has been determined.

Authors: Nilish S.Wani, Dr. R. P. Singh

File Name: Nilesh_50600-17-105.pdf
 Download Abstract | Download Full Paper


© 2016 IJDACR Journal. All rights reserved.