Optimization of partial discharge ultrasonic detection and fault location algorithm for GIS equipment
GIS设备局部放电超声波检测与故障定位算法优化

摘要

本文围绕GIS设备的局部放电超声波检测与故障定位展开研究，提出了一种优化的信号处理与定位算法。通过改进超声波信号特征提取方法，提升噪声抑制与信号分辨能力；结合多传感器阵列与时差定位技术，实现对局部放电源的高精度三维定位。研究同时引入自适应滤波与改进的交叉相关算法，显著提高了检测灵敏度与定位精度。实验验证表明，该优化算法在复杂电磁环境下具有更高的鲁棒性与实用性，为GIS设备状态评估与故障预防提供了技术支持。

Abstract

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.