The SWPD-X Transformer Local Discharge Monitoring System employs high-frequency sensors for real-time detection of partial discharge signals. The system utilizes wavelet denoising technology, adaptive filtering techniques, and narrowband interference elimination to remove spatial and line interference signals. It also performs time-domain, frequency-domain, and time-frequency analysis of individual discharge pulses, providing PRPD, PRPS, and fingerprint图谱 statistical analysis. It can automatically identify discharge fault types, locate multiple discharge sources through electrical-acoustic, electrical-electrical, and acoustic-acoustic methods, display in a 3D space, track multiple discharge fault points, and offer an online continuous tracking and positioning mode for discharge sources. It can lock the discharge location, track its displacement and intensity changes in real-time, and monitor the changes in discharge types.