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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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Article Details
Issue: Vol 11 No 11 (2008)
Page No.: 40-48
Published: Nov 30, 2008
Section: Sciences of Earth and Environment - Research article
DOI: https://doi.org/10.32508/stdj.v11i11.2728
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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Anh, Q., Bang, L., & Phuc Diem, N. (2008). EXPERT SYSTEM FOR TRANSFORMER FAULT DIAGNOSIS. Science and Technology Development Journal, 11(11), 40-48. https://doi.org/https://doi.org/10.32508/stdj.v11i11.2728
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