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1)  Dissolved Gas-in-Oil Analysis(DGA)
溶解气体分析(DGA)
2)  Dissolved gas analysis(DGA)
油中溶解气体分析(DGA)
3)  Dissolved gas analysis
溶解气体分析
1.
On-line monitoring and diagnosis of power transformer based on dissolved gas analysis;
基于溶解气体分析的电力变压器在线监测与诊断技术
2.
Based on the study through the analysis data of gas dissolved from oil once the paroxysmal failure happened to tow main transformer,the paper brings some opinion on judgment of transformer failure through the application of dissolved gas analysis.
通过一起牵引主变压器突发性故障前后油中溶解气体数据的分析研究,对应用溶解气体分析法诊断变压器故障提出了看法。
3.
It was then applied to the insulation fault diagnosis of power transformer based on dissolved gas analysis.
针对支持向量机中的参数通常靠交叉试验来确定的状况,提出了遗传支持向量机,即使用遗传算法来优化支持向量机中的参数,并将之进一步应用在基于溶解气体分析的变压器故障诊断中。
4)  dissolved gases analysis
溶解气体分析
1.
Utilising dissolved gases analysis,a new insulation fault diagnosis method for power transformers is proposed.
基于变压器油中溶解气体分析,提出了一种基于群灰色关联度分析的变压器绝缘故障诊断新方法。
5)  dissolved gas analysis (DGA)
溶解气体分析
1.
Dissolved gas analysis (DGA) is an important method to diagnose the fault of power transformer.
变压器油中溶解气体分析(DissolvedGasAnalysis,DGA)是电力变压器绝缘诊断的重要方法。
2.
As the dissolved gas analysis (DGA) has the advantages of dispense with offline testing, convenient for online monitoring and impervious to external electric field and magnetic field, it is regarded as one of the best methods for monitoring and diagnosis the earlyhidder faults of oil-immersed transformer.
油中溶解气体分析由于无需停电试验,便于在线监测,且不受外界电场和磁场因素的干扰,因此被世界公认为是监测和诊断充油电力变压器早期潜伏性故障最有效的方法之一。
6)  DGA
溶解气体分析法
1.
Brief Discussion on Diagnosis of Transformer Fault with DGA;
浅谈如何应用溶解气体分析法诊断变压器故障
2.
Based on the artificial neural net and the genetic algorithm,the neural net model for diagnosing transformer faults is founded by DGA.
运用油中溶解气体分析法,在人工神经网络和遗传算法的基础上,建立了变压器故障诊断的神经网络模型。
补充资料:DGA
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性质:含苯胺结构的二缩水甘油胺环氧树脂。褐色透明液体,环氧当量110~135g/eq,黏度(25℃,Pa·s)0.09~0.30。固化物热稳定性和机械强度好。由苯胺与环氧氯丙烷反应制得。可用作胶黏剂和涂料等。

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