Analysis of Ultra-high Frequency Signal Propagation in Power Transformers for Partial Discharge Detection and Localization

This thesis investigates ultra-high frequency (UHF) signal propagation in power transformers for partial discharge (PD) detection and three-dimensional localization. Experimental studies on transmission and distribution transformers, combined with validated electromagnetic simulations, evaluate signal attenuation and determine optimal sensor configurations. Furthermore, neural networks are trained to compensate for indirect propagation paths, supported by an efficient pathfinding algorithm to rapidly generate time-difference-of-arrival data.