溶解气体

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

固体氧化物燃料电池（SolidOxideFuelCell，简称SOFC）具有灵敏度高、检测气体种类丰富及使用寿命长等优点，其在变压器油中溶解气体检测领域具有巨大的应用潜力。

As a new type of fuel cell , solid oxide fuel cell ( SOFC ) has some advantages including high sensitivity , response to kinds of gases , and long service life , which make it has great application potential in the field of dissolved gases evaluation .

动态隧道模糊C均值算法用于变压器油中溶解气体分析

Dissolved Gas Analysis in Transformer Oil Using Dynamic Tunneling Fuzzy C-means Algorithm

基于BP网络的变压器油中溶解气体在线监测

Neural network based on-line detection of dissolved gas in transformer oil

影响降解率的主要因素有：超声波频率、超声波声强、溶液的pH值、溶解气体的物理性质和污染物自身性质。

The main effecting factors on the degradation rate include follows : ultrasonic frequency , ultrasonic sound intensity , pH value , the presence of gases in solution and pollutant .

研制了基于SOFC的变压器油中溶解气体在线监测系统。

An on-line monitoring system for gases dissolved in transformer oil based on SOFC has been developed .

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。

2 , Dissolved gas - in - oil analysis is done fuzzy process .

根据大量电流互感器油中溶解气体的色谱分析结果，分析了H2含量超标的原因，提出了处理的方法，认为应防止采取极端化的态度。

Through the chromatographic analysis for dissolved gas in current transformer oil the reason of abnormal H 2 content is analyzed and solution 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。

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

本文分析了利用油中溶解气体进行变压器故障诊断的方法，对采用IEC三比值法、神经网络方法以及模糊数学方法进行分析。

In this paper , diagnosis method based on DGA is analyzed . IEC standard , fuzzy theory and expert system are integrated to diagnose the transformer faults .

分别用GM（1,1）模型和DGM（1,1）模型对变压器油中溶解气体浓度进行建模预测。

The gas-in-oil concentration of a power transformer is predicted using the GM ( 1,1 ) model and the DGM ( 1,1 ) model respectively .

本文采用基于Web通讯技术的PIC单片机系统，以变压器油中溶解气体监测技术和液压变频调速原理为基础，设计了基于PIC系统的变压器油在线监测及净化系统。

In this paper , a PIC microcontroller system has been developed for transformer oil online monitoring and purification system . A special PIC microcontroller is selected to implement communication technology based on Web .

总结展望了变压器在线监测的油中溶解气体分析（DGA）法。

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

介绍了SPM型变电站状态监测诊断集成系统及变压器油中溶解气体的在线监测方法。

Introduce the system of state monitoring , diagnosis and integration in SPM transformer station , and the method of on-line monitoring dissolved gas in transformer oil .

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

根据各溶解气体的在线监测数据，采用灰色GM（1，1）和PNN融合技术进行在线故障诊断。

Based on the online inspection data of various soluble gases , an integrated technology of GM ( 1,1 ) and PNN is introduce into the online fault diagnosis .

研究了传感元件检测变压器油中溶解气体的原理和方法，选用的MQ型系列传感器对变压器油中氢气H2和一氧化碳CO气体具有明显的选择性和灵敏度；

Studying the principle and method of many sensitive elements which are used to detecting the gases dissolved in oil , sensors of MQ series that author selected have obvious selectivity and higher accuracy when they detect gases of H_2 and CO.

本文总结了采用光声光谱技术及气相色谱技术在油中溶解气体分析（DGA）领域的应用，并对两种技术加以比较。

What applying the photo-Acoustic spectroscopy technology and gas chromatography technology to analyze the dissolved gas in oil are introduced and compared in this paper .

结合IEC与CIGRE的调查结果，对油中溶解气体在线分析结果提出了准确性、重复性及再现性的要求。

Based on the research report and survey results of IEC and CIGRE , accuracy , repeatability and reproducibility are set as the quality indicator of on-line DGA results .

以苯胺废水为研究对象，考察了pH值、苯胺浓度、溶解气体、H2O2的加入量及超声波辐射时间等因素对苯胺废水降解的影响。

The removal of aniline from waste water using ultrasonic wave is evaluated in an experimental way . The influences of pH value , concentration of aniline , dissolved gas , H_2O_2 dosage and irradiation time of ultrasonic wave on the degradation for aniline are investigated respectively .

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。

Power transformer is very important in power system . Now , dissolved gas analysis ( DGA ) is the most effective and convenient method in transformer fault diagnosis .

从对总溶解气体（TDG）过饱和概念的分析入手，阐述TDG过饱和的危害。

Based on the analysis of its concept , the hazards of the supersaturation of the total dissolved gas ( TDG ) were discussed .

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。

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 .

DGM（1,1）模型是GM（1,1）模型的精确形式，具有更高的预测精度和较好的稳定性，被推荐替代GM（1,1）模型预测变压器油中溶解气体浓度。

The DGM ( 1,1 ) model , as the precise form of the GM ( 1,1 ) model , has better precise and stability , with which it is suggested to replace the GM ( 1,1 ) model in gas-in-oil prediction .

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。

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 .

本文研究油中溶解气体分析技术（DGA），并把电抗器油中溶解气体的含量作为属性变量，利用朴素贝叶斯网络对电抗器进行故障诊断。

In this paper , we studied the technology of dissolved gas analysis ( DGA ), and put the content of dissolved gas in reactor as attribute variables . Then , we use Bayesian networks to diagnose the reactor .

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。

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 .

本文主要研究了电力变压器状态监测与故障诊断的现状以及存在的问题，利用DGA（油中溶解气体色谱分析法）诊断变压器故障是一种早期潜在性故障分析，两次分析之间的故障不能确定；

This thesis discusses the current states and the problems of the transformer condition monitoring and diagnosis fault . With the application of DGA the estimation of the fault of transformer is a kind of potential fault analysis at the beginning .

以Dog-1000型油中溶解气体在线监测装置为例，对油中溶解气体在线监测技术进行了系统介绍。

Taking type Dog-1000 on-line detection device as an example , this article systematically introduces the on-line detection technology of gas dissolved in insulation oil .

基于当前对电力变压器故障识别中的模式空间划分缺乏研究的情况，将模糊聚类技术引入了电力变压器油中溶解气体分析DGA。

Because of being short of studying how to carve up the patterns of insulation faults in the field of transformer fault diagnoses , fuzzy classification theory was applied to the problem of dissolved gas analysis ( DGA ) in transformer oil .