UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2205804


Registration ID:
402883

Page Number

h40-h43

Share This Article


Jetir RMS

Title

A STUDY ON: DISSOLVED GAS ANALYSIS (DGA) USING ARTIFICIAL INTELLIGENCE TECHNIQUES FOR POWER TRANSFORMER FAILURE AND FAULT CONDITION

Abstract

In the middle of 80-90s, identify the power system problems, distribution and fault were a laborious task in many fields. Power transformer is a crucial and costly asset in distribution of electricity. Due to high demand of electricity, power systems are generally breakdown as using of different types of power capacity transformer. Although there are many concerns and summons in power transmission like design, optimize, distribution, flow, power capacity and fault, which need to be solved for precisely explained calculated data obtained from different AI techniques and for constructing hard core solution of a transformer’s condition. But recently added various techniques of Artificial Intelligence, solved many hurdles of power transmission that minimize the fault, transformer condition, health and reduced most of the efforts in power system analysis.

Key Words

DGA, Health, Transformer, Fault, AI, Fuzzy Logic, Neural, SVM, GAA

Cite This Article

"A STUDY ON: DISSOLVED GAS ANALYSIS (DGA) USING ARTIFICIAL INTELLIGENCE TECHNIQUES FOR POWER TRANSFORMER FAILURE AND FAULT CONDITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.h40-h43, May-2022, Available :http://www.jetir.org/papers/JETIR2205804.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: DISSOLVED GAS ANALYSIS (DGA) USING ARTIFICIAL INTELLIGENCE TECHNIQUES FOR POWER TRANSFORMER FAILURE AND FAULT CONDITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. pph40-h43, May-2022, Available at : http://www.jetir.org/papers/JETIR2205804.pdf

Publication Details

Published Paper ID: JETIR2205804
Registration ID: 402883
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: h40-h43
Country: Ahmedabad, Gujarat, India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000253

Print This Page

Current Call For Paper

Jetir RMS