Virtual Booth

ABSTRACT

Partial discharge (PD) diagnostics is a key topic in high-voltage (HV) engineering, yet the underlying concepts of noise, denoising and frequency-domain analysis are often abstract and mathematically intensive for students. Limited access to HV laboratories, safety concerns and equipment cost further restrict students’ exposure to real PD measurements. To address these challenges, ANNA-PD EduLab was developed as an interactive teaching and learning tool that transforms a research-grade PD signal processing system into a virtual laboratory. The innovation provides a dual-mode graphical user interface (GUI) that supports Simulation Mode and Measurement Mode, enabling students to explore PD signal processing using both synthetic and real data. In Simulation Mode, students generate PD signals with controllable noise, apply discrete wavelet transform (DWT) denoising using an optimum wavelet, and observe changes in waveforms, spectra and performance indicators such as mean square error, signal-to-noise ratio and cross-correlation. In Measurement Mode, students import real PD data from HV equipment and repeat the same analysis workflow, with peak-threshold warnings and data-saving features. ANNA-PD EduLab combines advanced DWT-based denoising, industrial PD datasets and a structured learning workflow within a user-friendly virtual lab. It helps students visualise complex PD phenomena, link theory to authentic data and build practical diagnostic skills. The tool is low-risk, reusable and scalable, with potential to be commercialised as an educational software kit for universities, polytechnics and training centres offering HV and condition-monitoring courses.

Keywords: Partial discharge; wavelet transform; denoising; virtual laboratory; teaching and learning.