Paper Title

Transformer Protection using Artificial Neural Network

Article Identifiers

Registration ID: IJNRD_170042

Published ID: IJNRD1705023

DOI: Click Here to Get

Authors

Mr S.B.Parmar , Mr. B.S.Shah

Keywords

Transformer Protection using Artificial Neural Network

Abstract

This paper gives idea about use of artificial neural network to the protection of power transformer. The high pointed demand includes the requirements of dependability associated with no false tripping and operating speed with short fault detection and clearing time. By use of the second harmonic restrain and using discrete Fourier transform (DFT) problems such as long restrain time and inability to discriminate internal fault from magnetizing inrush condition. So, artificial neural network (ANN), a helping tool for artificial intelligence (AI), The wavelet transform(WT) which has the ability to extract information from transient signals in both time and frequency domain simultaneously is used for the analysis of power transformer The ANN is tested by varying the hidden layers, number of nodes in the hidden layer, learning rate and momentum factor, and the suitable architecture of ANN is selected having least mean square error during observations.

How To Cite

"Transformer Protection using Artificial Neural Network", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.2, Issue 5, page no.108-111, May-2017, Available :https://ijnrd.org/papers/IJNRD1705023.pdf

Issue

Volume 2 Issue 5, May-2017

Pages : 108-111

Other Publication Details

Paper Reg. ID: IJNRD_170042

Published Paper Id: IJNRD1705023

Downloads: 000121112

Research Area: Engineering

Country: Rajkot, gujrat, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD1705023.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1705023

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

Publication Timeline

Peer Review
Through Scholar9.com Platform

Article Preview: View Full Paper

Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area