Flash News
Welcome to IARC

Publisher Login

Latest News
Welcome to IARC- JCR Report

Submit your Journal to get IARC-JCRR Indexing and Impact Factor
 

Impact Factor calculated by IARC on the basis of Journal Citation Reference (JCR) Report.

 

Contact: iarcdpi@gmail.com

 

A NOVEL APPROACH TO POWER TRANSFORMER FAULT PROTECTION USING ARTIFICIAL NEURAL NETWORK
Anagha P. Dhote, Vikramsingh R. Parihar

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-9, pp.68-71, Sep 2017
DPI :-> 16.10046.IJCESR.2017.V4I9.6871.1988



Abstract
This paper describes a novel algorithm where arithmetical restrictions of comprehensive d1 level wavelet coefficients of signal are used as an input to the artificial neural network (ANN), which progresses into an original approach for online exposure method to distinguish the magnetizing inrush current and inter-turn fault, and even the location of fault i.e. whether the inter-turn fault deceits in primary winding or secondary winding through the use artificial neural-network (ANNs).

Key-Words / Index Term
artificial neural network, MATLAB simulation, power transformer faults, power transformer protection

How to cite this article
Anagha P. Dhote, Vikramsingh R. Parihar , “A NOVEL APPROACH TO POWER TRANSFORMER FAULT PROTECTION USING ARTIFICIAL NEURAL NETWORK”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-9, pp.68-71, Sep 2017. DPI:16.10046.IJCESR.V4.I9.1988