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EXPERT SYSTEM FOR TRANSFORMER FAULT DIAGNOSIS

Quyen Huy Anh 1
Le Van Bang 1
Nguyen Ngoc Phuc Diem 2
Volume & Issue: Vol. 11 No. 11 (2008) | Page No.: 40-48 | DOI: 10.32508/stdj.v11i11.2728
Published: 2008-11-30

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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

In this paper, an expert system for transformer fault diagnosis was developed. This expert system utilizes Dissolve Gas in oil Analysis (DGA) techniques to diagnose fault conditions of transformers. Several methods were implemented in this expert system, namely the fuzzy Roger’s four ratio method; NTT Flagpoint method and Generation Rate ratio method. This is to increase the accuracy of both methods, as fuzzy logic helps to manage the uncertainties exhibited by transformer DGA data. All three methods then were integrated into this expert system, to yield greater accuracy in analyzing a transformer fault condition.

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