Dissolved Gas-in-oil Analysis ( DGA) is an important method to diagnose internal fault of transformer and it offers a main basis to find the general incipient faults of the transformer indirectly. 总结了近年来人工智能技术在基于油中溶解气体分析(DGA)的变压器绝缘故障诊断方法上的研究和发展,介绍了其中的主要方法和成果,并讨论了该领域的研究趋向。
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
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
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
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
The dynamic grasping area ( DGA) is applied for grasping control of a space robot's capturing a floating target. 提出了动态抓取域用于空间机器人捕获漂浮目标的抓取控制。
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
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。
Generalized Grey Incidence on Transformer DGA Fault Diagnosis 基于变压器DGA广义灰色故障诊断
French defense procurement agency DGA takes the responsibility to run the program and missioned the space segment to French space agency CNES, which is the biggest shareholder of Arianespace center. 法国国防采购代办机构DGA(武器装备总署)负责运行这个计划并且将空间部分的任务委托给法国的太空机构CNES(法国航天局),后者是阿丽亚娜太空中心的最大股东。
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
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。
Power transformer is very important in power system. Now, dissolved gas analysis ( DGA) is the most effective and convenient method in transformer fault diagnosis. 电力变压器属电力系统中的重要设备,目前油中溶解气体分析(DGA)的三比值法是对变压器进行故障诊断的最方便、有效的方法之一。
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。
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。
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
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。
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 study of fault diagnosis technology based on dissolved gas analysis ( DGA) is very important to maintain the reliable running of electric power system, and also an efficient method to detect the incipient fault in transformer. 油浸式电力设备油中溶解气体分析(DGA)故障诊断技术的研究,对发现变压器内部早期存在的潜伏性故障,提高电力系统的安全稳定运行具有十分重要的意义。
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
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。
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
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。
This paper presents a new transformer fault diagnosis method based on Bayesian network ( BN) and dissolved gas analysis ( DGA) technique. It constructs the transformer fault diagnosis model based on BN and DGA. 用3步法构造贝叶斯网络(BN)方法,结合油中溶解气体分析(DGA)的三比值法后,引入大型变压器的故障诊断,提出了基于BN理论和DGA方法的变压器智能故障诊断模型。
Combining ANN with Dissolved Gas Analysis ( DGA) that is a typical method in transformer diagnosis, transformer fault diagnosis system with friendly interface and excellent capability is finished by Java. 将变压器诊断中典型的油中气体分析法和神经网络方法相结合,采用Java语言开发出界面友好、性能优秀的变压器故障诊断系统;
2, Dissolved gas-in-oil analysis is done fuzzy process. 2,对电力变压器绝缘油内溶解气体分析法(DGA)进行模糊化处理。
Then, the paper introduces the DGA technology of power transformer fault diagnosis and selects fault data sample. In view of this, a fault diagnosis system based on intuitionistic fuzzy neural network is established, which shows the specific implementation process and data results. 然后,介绍了变压器故障诊断的DGA方法,并选取故障数据样本,建立了基于直觉模糊神经网络的故障诊断系统,给出了具体实现过程和数据结果。
Therefore, this paper introduces the support vector machine based on the small sample learning and combines it with DGA to establish a fault diagnosis model of transformers based on SVM. 因此,论文引入了基于小样本学习的支持向量机,并将其与DGA相结合建立了基于SVM的变压器故障诊断模型。
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。