XAI-Enabled Quantification of Insulation Aging from Reference-Signal Response
Reliable and auditable assessment of insulation aging in high-voltage assets is essential for condition-based maintenance and failure prevention. We present a methodology that combines controlled excitation using a broadband reference signal (MHz-range chirp) with explainable AI (XAI) to enable interpretable classifica...