研究了局部放电信号在其中传播的频率特性。
The propagation frequency characteristics of PD signals are studied.
介绍了混频技术的原理及其在超高频局部放电信号提取中的应用。
The principles of frequency mixing technique and its application to detect PD signals at ultra high frequency (UHF) are introduced in this paper.
采用了子波函数对含强载波干扰的局部放电信号进行连续子波变换。
This paper introduces a continuous wavelet transformation for detecting the disturbed partial discharge pulses in HV transformer.
提出一种基于经验模态分解（EMD）的水轮发电机组局部放电信号提取方法。
This paper investigates a new method of extracting partial discharge signals of hydroelectric generating set based on empirical mode decomposition (EMD).
本发明提供一种局部放电检测方法，其对局部放电信号具有良好的检测灵敏度。
The present invention provides a detection method for a local discharge, having a well detection sensitivity to a local discharge signal.
当前的变压器状态监测系统中，研究得较多的监测量是：油气量和局部放电信号。
As for the current system of monitoring the status of transformer, there are some more surveying values to research, such as the oil gas value and the signal of local discharge.
局部放电信号用超宽带（UWB）脉冲电流、脉冲电流和特高频（UHF）联合检测系统获取。
The partial discharge signals were gathered by a united detective system of UWB method, pulse current method and UHF method.
而对运行中的电力变压器的绝缘状态实施监测最有效的方法是实时提取使绝缘损坏的局部放电信号。
The most efficient method in monitoring the running transformer's insulated state is to extract partial discharge signals in real-time.
大型电力变压器局部放电信号的特征提取是电气设备绝缘在线监测及故障诊断技术领域的前沿研究课题。
The feature extraction of partial discharge signal of transformer is the front research project in online monitoring and diagnosing high voltage insulation failure.
由于电力设备工作环境复杂，局部放电信号的检测一直是局部放电研究重要组成部分，影响着进一步的故障诊断。
Because power equipment work in a complex environment, detecting partial discharge signal has been the important part of partial discharge study. Then it affects fault diagnosis of power equipment.
电流传感器是电力设备局部放电在线监测系统中的一个重要组成部分，其局部放电信号传输特性直接影响测量结果。
Current sensor is an important element for on line PD monitor of electric power equipment and its transfer characteristic has a direct influence on PD measurement.
在提出脉冲提取思想的基础上，利用局部放电信号所固有的奇异性特征，将小波变换的奇异性检测原理应用于提取局部放电脉冲。
A wavelet domain singularity detection algorithm, based on the theory of pulse extraction, is applied in partial discharge (PD) pulse extraction utilizing the singularity of PD signal.
与此同时，分别设计了模糊系统聚类法和模糊等价矩阵法两种模糊网络模式识别方法对局部放电信号进行识别，作为局部放电模式识别对比实验。
At the same time, fuzzy hierarchical clustering and fuzzy equivalence matrix method based on fuzzy logical are designed for partial discharge pattern recognition as contrasting experiment.
与此同时，分别设计了模糊系统聚类法和模糊等价矩阵法两种模糊网络模式识别方法对局部放电信号进行识别，作为局部放电模式识别对比实验。
At the same time, fuzzy hierarchical clustering and fuzzy equivalence matrix method based on fuzzy logical are designed for partial discharge pattern recognition as contrasting experiment.
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