Publication: Application and comparative analysis of fuzzy inference system for transformer fault diagnosis with dissolved gases in oil
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Date
2021-10-28
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Abstract
Oils are used for cooling and insulation in
transformers. The fault currents occurred on transformers
can damage windings and insulation. As a result of this
incoming fault current, gas emission occurs in materials such
as oil and pressboard. The type of these gases released gives
information about the fault of the transformer. In this study,
it has been studied on the determination of the fault by
analyzing the gases released as a result of the failure in
63 transformers using FIS. As a result of the analysis, the
results obtained with FIS were compared with analyzed
results with IEC 60599 and fault reports from the
corporation, which these values obtained. When 63.5% true
results were obtained compared to IEC 60599, 97.6% correct
results were obtained compared to fault reports of the
corporation because 22 of 63 transformer gas values were
not actually suitable for applying the IEC Ratio method.
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Keywords
DGA interpretation, Dissolved Gas Analysis, Fault prediction methods, Fuzzy Inference System (FIS), Power Transformers
Citation
İSPİRLİ M. M., Adalı H., KALENDERLİ Ö., Çelik M. Z., ORAL B., \"Application and Comparative Analysis of Fuzzy Inference System for Transformer Fault Diagnosis with Dissolved Gases in Oil\", The 3rd International Conference on High Voltage Engineering and Power System, Bandung, Endonezya, 05 Ekim 2021