Intelligent Fault Detection of MV/HV Transformers Using Fuzzy Logic Based on DGA

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The fuzzy logic system enhances fault detection by integrating multiple DGA techniques, improving diagnostic accuracy.
Results show that the integrated system produces more reliable diagnoses compared to traditional DGA methods.
Testing involved oil samples from transformers, comparing results with those from conventional techniques.
The method provides a practical solution for non-specialists to interpret transformer health diagnostics easily.

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Fuzzy logic improves fault detection accuracy in transformers via dissolved gas analysis, indicating a shift from traditional methods.

Mogotsi et al. (2025) studied this question.

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