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TRANSFORMER FAULT DIAGNOSIS USING FUZZY LOGIC

Quyen Huy Anh 1
Dang Manh Quynh 2
Volume & Issue: Vol. 8 No. 12 (2005) | Page No.: 65-71 | DOI: 10.32508/stdj.v8i12.3108
Published: 2005-12-31

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

The power transformer is one of the main components in a power transmission network. Major faults of transformers can cause extensive damage. These faults do not only interrupt electricity supply but also result in large revenue losses. There are several methods for diagnosis of implicit faults in power transformer, one of them is diagnosis based on the Dissolved Gas Analysis (DGA) performed routinely using the technique of fuzzy logic. A fuzzy logic interpretation module which can be used for interpreting most of DGA test results has already been completed and discussed in this paper

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