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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM23842

Review Work on Condition Monitoring Power Transformer using ANN and fuzzy logic

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM23842

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PSVL

Prof. Saurabh V Lawate

KPG

Ketan P. Galande

ARB

Ajay R. Bhoyar

APL

Akshay P. Lohe

VBB

Vaibhav B. Bodhe

AM

Akshay Meshram

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Abstract

This work covers problem identification due to faults in power transformers during operation by using gas analysis such as key gas, IEC ratio, Duval triangle techniques, and with fuzzy logic approaches. Then, the status of the power converter is evaluated in terms of percentage error rate and internal error resolution. Fuzzy logic with key gas method was used to calculate the error rate and identify the problems in the power converter.

KEYWORDS

IEC Ratio Method ANN Fuzzy Logic

Cite This Article

Prof. Saurabh V Lawate, Ketan P. Galande, Ajay R. Bhoyar, Akshay P. Lohe, Vaibhav B. Bodhe, Akshay Meshram, "Review Work on Condition Monitoring Power Transformer using ANN and fuzzy logic," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023.

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Publication Date

6/19/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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