UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 4
April-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIREP06032


Registration ID:
308233

Page Number

130-132

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Title

A Study on Optimization of Transformer Design and Analyzing results using artificial intelligence Techniques

Authors

Abstract

At the heart of electrical transmission and distribution networks are transformers. The aim of the design of transformers is to obtain the dimensions of all parts of the transformer in order to supply the manufacturer with this info. It is important to build the transformer in anIt is economically feasible, has low weight, small scale, and good performance and should meet all of the requirements at the same time. Limits set by international norms. Many researchers have used transformer Artificial Intelligence (AI) techniques for Optimization of Architecture (TDO) and Review of results.The true potential of AI techniques for TDO is, however, yet to be thoroughly explored. Issues. A brief overview of transformer research and development using traditional optimization is conducted in this article. Methods, optimization techniques focused on artificial intelligence, and some of the latest bio-inspired AI techniques that can be proposed Hired for TDO issues

Key Words

Transformer design optimization, Swarm Intelligence, Genetic Algorithms, Artificial Neural Networks, and Artificial Intelligence Techniques.

Cite This Article

"A Study on Optimization of Transformer Design and Analyzing results using artificial intelligence Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 4, page no.130-132, April-2018, Available :http://www.jetir.org/papers/JETIREP06032.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Study on Optimization of Transformer Design and Analyzing results using artificial intelligence Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp130-132, April-2018, Available at : http://www.jetir.org/papers/JETIREP06032.pdf

Publication Details

Published Paper ID: JETIREP06032
Registration ID: 308233
Published In: Volume 5 | Issue 4 | Year April-2018
DOI (Digital Object Identifier):
Page No: 130-132
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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