{"slug": "optimized-fuzzy-logic-approach-with-the-ieee-key-gas-method-for-diagnosing-power", "title": "Optimized Fuzzy Logic Approach with the IEEE Key Gas Method for Diagnosing Power Transformer Faults Using Dissolved Gas Analysis", "summary": "A new study from arXiv (2608.18133v1) presents FL-KGM, a fuzzy logic-enhanced version of the IEEE Key Gas Method for diagnosing power transformer faults via dissolved gas analysis, achieving up to 98.6% accuracy on real-world datasets. The method introduces refined membership functions, optimized fuzzy rule sets, and separate CO/CO2 handling to overcome limitations of the standard KGM and other fuzzy logic approaches.", "body_md": "arXiv:2608.18133v1 Announce Type: new\nAbstract: Reliable transformer fault diagnosis is essential for maintaining power system stability. The IEEE Key Gas Method (KGM), a widely utilized approach in Dissolved Gas Analysis (DGA), exhibits limitations in addressing ambiguous data and ensuring high diagnostic accuracy. This study presents An enhanced model combining Fuzzy Logic with the IEEE Key Gas Method (FL-KGM) that introduces refined membership functions, optimized fuzzy rule sets, and a novel separation of CO and CO2 to eliminate diagnostic inconsistencies. By leveraging multidimensional gas ratio analysis and an adaptive classification framework, FL-KGM delivers superior fault identification and classification. Experimental validation utilizing real-world datasets demonstrates that FL-KGM achieves up to 98.6% accuracy, significantly outperforming KGM and other FL-based approaches. These findings elucidate the potential of FL-KGM in advancing transformer monitoring, enabling intelligent fault detection, and enhancing predictive maintenance strategies in modern power systems.", "url": "https://wpnews.pro/news/optimized-fuzzy-logic-approach-with-the-ieee-key-gas-method-for-diagnosing-power", "canonical_source": "https://arxiv.org/abs/2608.18133", "published_at": "2026-08-20 04:00:00+00:00", "updated_at": "2026-08-20 04:15:43.579914+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning"], "entities": ["arXiv", "IEEE Key Gas Method", "FL-KGM"], "alternates": {"html": "https://wpnews.pro/news/optimized-fuzzy-logic-approach-with-the-ieee-key-gas-method-for-diagnosing-power", "markdown": "https://wpnews.pro/news/optimized-fuzzy-logic-approach-with-the-ieee-key-gas-method-for-diagnosing-power.md", "text": "https://wpnews.pro/news/optimized-fuzzy-logic-approach-with-the-ieee-key-gas-method-for-diagnosing-power.txt", "jsonld": "https://wpnews.pro/news/optimized-fuzzy-logic-approach-with-the-ieee-key-gas-method-for-diagnosing-power.jsonld"}}