4 citations · 4 across the 3 of their papers we have counts for
3 papers
quant-ph2026
Transformer fault diagnosis using an efficient simulation-driven variational quantum classifier with domain-aware feature encoding
Huy Hoang Le, Ba Tu Phung, Dai Huynh +1
Early transformer fault diagnosis is challenged by nonlinear dissolved-gas interactions, overlapping fault signatures, and limited labeled data, while practical deployment further…
cs.AI2026
Optimized Fuzzy Logic Approach with the IEEE Key Gas Method for Diagnosing Power Transformer Faults Using Dissolved Gas Analysis
Kim-Anh Nguyen, Huy Hoang Le, Ba Tu Phung
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),…
cs.LG2026★ 4 cited
An adaptive multi-fuzzy logic model for diagnosing transformer faults using dynamic weight optimization
Kim-Anh Nguyen, Huy Hoang Le, Ba Tu Phung
Dissolved gas analysis (DGA) is crucial for diagnosing early power transformer failures. Traditional DGA interpretation methods like Duval Triangle, IEC ratio, Roger ratio, Doernen…