Open access
Aug 2026
HIRA-DGA: Hierarchical Invariant Representations and Abstention for Cross-Source Power Transformer Fault Diagnosis
High within-dataset accuracy does not establish that a dissolved-gas analysis model will remain valid in an independently sourced transformer population, especially when gas magnitudes, case mix, and label structures differ. This study proposes HIRA-DGA, a Hierarchical Invariant-Representation and Abstention framework,...
Alibek Adilbekov, Luigi Carlo De Jesus, J. Robert et al.
· Journal of Intelligent Decis... · 0 citations