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The document presents a study on diagnosing incipient faults in power transformers using Dissolved Gas Analysis (DGA) and fuzzy logic methods. It critiques existing DGA interpretation techniques for their reliance on personnel expertise and introduces a new fuzzy logic model that consolidates various classical methods to improve accuracy and consistency in fault diagnosis. The study utilizes DGA results from 100 oil samples to develop the proposed model, aiming to enhance condition monitoring of power trans

Author

alvinmwaringa

Language

EN