Multi-domain feature fusion and machine learning-based SFRA diagnosis of transformer winding faults using a novel fault deviation index
A quantitative, measurement-oriented diagnostic framework based on the advanced normalized Multi-Domain Fault Deviation Index (MFDI) is proposed, which provides quantitative differentiation among the investigated fault conditions despite the high similarity of their corresponding spectral signatures.