Journal of Electrical Engineering and Automation

This study investigates partial discharge ultrasonic detection and fault localization in GIS equipment, proposing an optimized signal processing and positioning algorithm. By improving the ultrasonic signal feature extraction method, we enhance noise suppression and signal resolution capabilities. The integration of multi-sensor arrays with time difference positioning technology enables high-precision three-dimensional localization of partial discharge sources. The research also incorporates adaptive filtering and an enhanced cross-correlation algorithm, significantly boosting detection sensitivity and positioning accuracy. Experimental verification demonstrates that the optimized algorithm exhibits enhanced robustness and practicality in complex electromagnetic environments, providing technical support for GIS equipment condition assessment and fault prevention.

GIS equipment; Partial discharge; Ultrasonic detection; Fault localization; Algorithm optimization