DGA

Study of on-line transformer DGA system based on gas sensor

基于气体传感器的变压器在线DGA系统的研究

Feature Selection of DGA Data Based on Transformer Fault Classification

基于变压器故障分类的DGA特征提取

Application and Development of DGA Technology for Insulation Fault Diagnosis of Power Transformers

DGA技术在电力变压器绝缘故障诊断中的应用与进展

Research on Expert System of Transformer Insulation Fault Diagnosis Based on DGA Characteristic Parameters

基于DGA特征量的变压器绝缘故障诊断专家系统的研究

BP Neural Network based on DGA and its application in one-dimensional river network simulation

基于DGA的BP神经网络及其在一维河网模拟中的应用

Development and Application of Mobile Multi-component Online DGA Monitoring Device

随动式多组分油色谱在线监测装置的开发与应用

Study on Fault Diagnosis for Power Transformer Based on Cloud Matter Element Analysis Principle and DGA

基于云物元分析原理的电力变压器故障诊断方法研究

Discussion on De-Gas Technology of Transformer Oil DGA Online Monitoring System

浅议变压器油中溶解气体在线监测系统的脱气技术

Study on fault diagnose method of transformer DGA with fuzzy model hiberarchy classification

变压器油中溶解气体分析中的模糊模式多层聚类故障诊断方法的研究

Source and Treatment of Two Errors in DGA

油中溶解气体分析的两个误差来源及处理

NPCA-MLP Network for Analysis and Diagnosis of DGA Data From Power Transformer

基于非线性主分量分析&多层感知器网络的变压器油中溶解气体数据分析

Transformer DGA diagnose system on the base of AI Online

变压器油中气体在线智能诊断系统

Present Situation and Prospect of Transformer Oil DGA

变压器油中溶解气体检测技术现状与展望

However , there are two different viewpoints for DGA method to diagnose power transformer fault position .

然而，对于采用DGA来诊断电力变压器故障部位的方法，目前仍存在能与不能两种观点。

Study on a novel online monitoring instrument for dissolved gas analysis ( DGA ) in transformer oil

一种新型变压器油中溶解气体在线监测仪的研究

On the application of CP BP algorithm for DGA NN diagnosis in power transformer

基于共轭梯度方向的CP-BP算法在变压器油中溶解气体诊断法中的应用

Study on Fault-diagnosis of Oil-filled Electric Equipment with DGA Technology

DGA技术在电力机车充油电气设备故障诊断中的问题探讨

Generalized Grey Incidence on Transformer DGA Fault Diagnosis

基于变压器DGA广义灰色故障诊断

Study on On-Line DGA Monitor for Traction Transformer

基于DGA技术的牵引变压器在线监测系统研究

Artificial neural network ( ANN ) is applied to analysis and diagnosis of DGA data from power transformers .

采用人工神经网络进行变压器DGA数据的分析与诊断。

Synthetic Multi-expert in Transformer Fault Diagnosis Based on DGA

基于DGA的变压器故障诊断多专家融合策略

Dissolved Gas-in-oil Analysis ( DGA ) is a very effective method of transformer fault diagnosis .

油中溶解气体分析方法是诊断变压器故障的一种有效方法。

Dissolved Gas Analysis ( DGA ) is a very effective method to predict and diagnose transformer faults .

油中溶解气体分析技术是早期发现和预防变压器故障的有效方法之一。

Based on this algorithm , combining with the calculation of characteristic gas growth rate , we build DGA intelligent diagnose system .

基于该算法，结合特征气体增长率的计算，构建了DGA智能化诊断系统。

The application and development of DGA ( dissolved gas analysis ) technology for insulation fault diagnosis of power transformers are introduced .

介绍了近年来油中溶解气体分析（DGA）技术在电力变压器绝缘故障诊断中的应用和发展动向。

The Necessity and Feasibility of DGA for the Assembling Capacitor

DGA在集合式电容器检测中的必要性及可行性

Thus , the DGA technology has been placed in an important position in the preventive tests of power transformer equipment .

因此，无论在国内还是在国际，DGA技术都被列为电力设备预防性试验的重要位置。

Transformer on-line monitoring approaches are summarized and predicted on the basis of the dissolved gas analysis ( DGA ) .

总结展望了变压器在线监测的油中溶解气体分析（DGA）法。

The transformer faults diagnose method based on dissolved gases analysis ( DGA ) actually is the regular monitor method in power system .

基于油中溶解气体分析法（DGA）的变压器故障诊断方法是目前电力系统常规监测方法，在此基础上提高变压器故障诊断正确率，成为当前科研热点。

The synthetic diagnosing of transformer faults based on dissolved gas-in-oil analysis ( DGA ) is introduced .

介绍了基于油中溶解气体分析（DGA）的电力变压器故障综合诊断。