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For online fault diagnosis in power transformers using Dissolved Gas Analysis (DGA), which AI technique is better: fuzzy logic or neural networks?

In the context of online DGA for power transformers, which AI method is more effective: fuzzy logic or neural networks?

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By Bhagirathi Bisht Answered 8 months ago

Both have merits. Fuzzy logic excels with interpretability, using expert rules for clear reasoning. Neural networks (especially deep learning) often achieve higher accuracy by learning complex patterns from large datasets. A hybrid approach—using fuzzy logic for rule-based framing and neural networks for pattern recognition—is frequently considered optimal for balancing accuracy and explainability in real-time diagnostics.

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