Enhancing Transformer Health Monitoring With AI-Driven Prognostic Diagnosis Trends: Overcoming Traditional Methodology’s Computational Limitations
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DOI: 10.1109/mie.2023.3329277
Abstract: Power transformers are critical for grids, facilitating transmission, distribution, and voltage conversion. However, its insulation degrades over time, instigating catastrophic failures. This article investigates the emerging trends of artificial intelligence (AI) driven transformer prognostic health… read more here.
Keywords: methodology; methodology computational; traditional methodology; computational limitations ... See more keywords