partial discharge

Partial discharge ( PD ) on-line monitoring is an effective means to evaluate dielectric condition of power transformer.

局部 放电 在线 监测是电力变压器绝缘状态监测的重要手段.

Partial discharge recognition based on time domain features of pulse waveform

基于脉冲波形时域特征的局部放电识别

Wavelet-based partial discharge denoising using hidden Markov model

基于小波与隐式马尔科夫模型的发电机局部放电信号去噪

A Test Circuit to Measure Real Partial Discharge Magnitude

一种可测量真实放电量的局部放电实验电路

Based on multi-conductor transmission line ( MTL ) theory, pulse propagation model of partial discharge in transformer winding is established.

基于多导体传输线理论建立放电脉冲信号在大型单相变压器绕组中的传输模型.

This paper introduced the research of GIS Partial Discharge Detecting Technology over the years in De-

清华大学电机系历年来进行的GIS局部放电监测和诊断技术的研究课题介绍。

This paper establishes multi-factor and function partial discharge measurement system.

本文建立了多参量多功能局部放电测试系统.

On-line partial discharge monitoring contributes to the safe and economic operation of power system.

在线监测变压器的局部放电对于电力系统安全和经济运行方面都会收益很大.

The development of continues and acutely partial discharge leads to partial insulation aging of the transformer.

放电持续发展和剧烈使得变压器局部绝缘老化.

Improvement Connecting Wire Used for Partial Discharge Test

利用空气介质中电晕理论对局部放电试验用导线的改进

The narrow-band system used for line partial discharge monitoring has been developed in this paper.

论述了局部放电在线窄带检测系统.

Partial discharge ( PD ) monitoring is an effective means to dielectric condition of power transformers.

局部 放电 的检测是电力变压器绝缘状态监测的重要手段.

In this paper , Finite element analysis ( FEA ) simulation models for partial discharge wave propagation are built.

建立了局部放电声波传播的有限元分析 ( FEA ) 仿真模型.

A Computer-based Acoustic Emission Detecting Instrument for Partial Discharge within Power Capacitor

电力电容器局部放电微机化声发射检测装置

The on-line monitoring and diagnosis system for large generator stator windings partial discharge is presented.

提出了一种用于现场的发电机局部放电 在线 监测系统的实现方案.

Anti-interference in Partial Discharge Test for Current Transformer Supplied with Variable-frequency Power

基于变频电源的电流互感器局放试验抗干扰

Then some kinds of visual method to show the partial discharge are described.

然后介绍了几种用来描述局部放电的可视化的方法。

Technical Analysis of Online Detection Method for Cable Partial Discharge

电缆局部放电在线检测方法的分析比较

It is comparatively difficult to carry out partial discharge detection as an after laying test for XLPE cable lines.

对敷设后的交联聚乙烯电缆进行局部放电检测比较困难。

Feature extraction is the most important step in the pattern recognition system of partial discharge.

特征提取是识别系统最重要的一步.

The fiberglass grid has no air bubble inside so no partial discharge.

网格布内部无气泡,从而无局部放电.

Testing of partial discharge has been becoming an important method in assessing the Insulation System.

局部放电的测试已经逐渐成为评价绝缘系统可靠性的重要方法.

Furthermore , some shortcomings of this test are presented, and partial discharge test is recommended.

分析了该试验方法的局限性后建议重点发展局部放电等非破坏性试验.

On-line Partial Discharge ( PD ) detection is common method for insulation monitoring in high voltage electrical machines.

局部 放电 在线检测技术是高压旋转电机定子绕组绝缘监测的有效方法.

In this paper, using the technique of mobile time window ( MTW), a new feature extraction method for DC partial discharge is proposed.

文中采用移动时间窗技术，提出一种新的直流局部放电特征提取方法。

Partial discharge ( PD ) detection is an important means of testing the reliability of high voltage equipment.

高压设备局部放电的检测已成为相关领域研究的重点.

Partial discharge analysis under direct voltage and analysis of PD data are very important.

直流局部检测的意义重大,其数据分析也是很关键的.

A Study on Partial Discharge Test Circuit

局部放电测量回路特性研究

The frequency characteristics of partial discharge in transformer oil and in the air are studied, and the attenuating characteristics of ultra high frequency ( UHF) signals in metal tank and in the air are measured in high voltage laboratory.

研究了变压器油中局部放电的频率特性，并与空气中局部放电的频谱特征作了比较；超高频信号在金属箱体内的传播具有振荡特性；

Using wavelet neural network, combined with dynamic clustering of results, determine the network input and output structure, partial discharge at different stages of the development process are identified, the results in good agreement with the cluster analysis.

利用小波神经网络及聚类分析的结果，确定了网络的输入输出结构，对局部放电发展过程的不同阶段进行了识别研究，识别结果与动态聚类分析结果相似率为98.33%。