近年来，作为一种有效的定位方法，电磁波时间反演(Electromagnetic wave time reversal， EMTR)技术在局部放电领域开始得到应用。相比传统的特高频定位方法，EMTR技术仅需要单个传感器，具有巨大的优势和良好的应用前景。然而，目前常用的最大场强和最小熵准则很难精确地得出复杂结构下时间反演的聚焦时刻和位置。针对以上问题，本文根据信号源与非信号源处波形的不同特征，提出了一种基于密度聚类算法(Density-Based Spatial Clustering of Applications with Noise， DBSCAN)的电磁波时间反演定位方法，并采用CST Studio Suite仿真软件对气体绝缘封闭开关设备(gas insulated switchgear， GIS)中局部放电进行了定位验证。为了验证TR的现场可行性，搭建了实验室模型并进行局部放电实验。实验结果表明，EMTR方法的平均定位误差小于20 cm，能够实现GIS中局部放电源的准确定位，相较于传统方法减少了传感器的使用个数，提高了抗干扰性能，具有一定的优越性

In recent years, as an effective positioning method, electromagnetic wave time reversal (EMTR) technology has begun to be applied in the field of partial discharge. Compared with traditional UHF positioning methods, EMTR technology only requires a single sensor, which has huge advantages and good application prospects. However, the currently commonly used maximum field strength and minimum entropy criteria are difficult to accurately obtain the focusing moment and position of time reversal under complex structures. In response to the above problems, this paper proposes a Density-Based Spatial Clustering of Applications with Noise (DBSCAN) time inversion localization method for electromagnetic waves based on the different characteristics of waveforms at signal and non-signal sources, and the location of partial discharges in gas-insulated switchgear (GIS) is verified using CST Studio Suite simulation software. In order to verify the field feasibility of EMTR, we built a laboratory model to conduct partial discharge experiments. The experimental results show that the average positioning error of EMTR method is less than 20 cm, which can realize the accurate positioning of partial discharge sources in GIS. Compared with traditional methods, EMTR method reduces the number of sensors used and improves the anti-interference performance, which has certain advantages.