该方法实现了变压器故障的智能诊断。
The intelligent diagnosis of transformer faults is carried out with the method.
并介绍了变压器故障的原因和处理过程。
The fault reason and treatment process of transformer are introduced in this paper.
将其应用在变压器故障诊断中，取得较好的诊断效果。
The result of applying in transformer fault diagnoses is outstanding.
提出并研究了电力变压器故障诊断的人工神经网络方法。
A neural network approach to power transformer fault diagnosis is proposed in this paper.
提出了一种新的基于改进灰色关联分析的变压器故障识别方法。
An improved grey relation analysis method is brought forward which is based on the concept of Group relation Index.
电力变压器故障诊断对电力系统的安全经济运行有着十分重要的意义。
The transformer fault diagnosis is very important to the safety and economic operation of power system.
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.
提出一种基于进化策略算法的人工神经网络法对电力变压器故障进行诊断。
An evolutionary strategy algorithm based on neural network to diagnose power transformer faults is proposed.
根据统计，由内绝缘老化问题引发的变压器故障是变压器事故的重要部分。
It is statistically that the transformer failure caused by insulation aging accounts for an important part in the transformer accidents.
提出了一种基于粗糙集的理论对变压器故障性质和故障部位的综合诊断方法。
A synthetic fault dia gnosis method based on RS theory for electric power transformer fault character and fault location is proposed.
并把改进的粒子群优化算法和BP神经网络相结合，应用于变压器故障检测中。
Otherwise, the authors combined MDPSO and BP neural network and applied it to the diagnosis of power transformer.
介绍根据空载试验及负载试验结果分析判断变压器故障的方法，并给出若干实例。
Based on the results of no load and load test, the paper studies the analysis and judgment methods of power transformer faults, and gives some field examples.
因此，研究变压器故障诊断技术，提高变压器的运行维护水平，具有重要的现实意义。
Therefore, it is of great realistic significance to study the fault diagnosis technology of transformer and to increase the operating and maintaining level of transformer.
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。
However, there are two different viewpoints for DGA method to diagnose power transformer fault position.
基于模糊逻辑理论和人工神经元网络，提出了将模糊神经网络应用于变压器故障诊断的方法。
Based on fuzzy logic theory and artificial neural networks, the method of the transformer fault diagnosis with fuzzy neural networks is presented.
而及时、准确地检测出变压器故障、异常状态及潜伏性问题是采取相应措施排除故障的保证。
Through detecting the transformer potential faults and abnormal status accurately and promptly, the appropriate measures can be taken, which is the assurance of troubleshooting.
同时利用贝叶斯网络实现概率推理，便于描述故障特征的变化及对变压器故障原因的快速分析。
At the same time, probability reasoning can be realized by BN, which can be used to describe changes of fault symptoms and analyze fault reasons of transformer.
本文就变压器数据仓库的构建、变压器综合故障诊断、变压器故障预测方法进行了深入的研究。
In this paper we have done in-depth research in transformer data warehouse construction, transformer fault diagnosis and fault forecast.
对引起一台主变压器故障的原因进行了分析，探讨了在变压器运行维护及设计方面应采取的措施。
The fault reason of a transformer is analysed. The measures which should be adopted in transformer operation, maintenance and design are discussed.
提出了一种模糊距优距离的变压器故障气体分析诊断算法，给出了该算法的推理、计算及仿真结果。
The algorithm of faults diagnosis for transformer based on fuzzy optimum distance is discussed. The inference, calculation and simulation of algorithm is given.
利用COM和模糊技术开发了电力变压器故障模糊检测和辨别模块，在此基础上设计了模糊诊断系统。
The modules for power transformer fault detection and identification are developed with COM and fuzzy technology. Based on the modules, the fuzzy diagnostic system is design.
电力变压器故障的机理难以应用准确的数学模型加以描述，故障现象与故障原因之间存在着很多不确定因素。
It is difficult to use a precise mathematical model to describe the fault mechanism of transformers. There are many uncertain factors between the phenomena and causes of the faults.
针对单一预测模型的适应性较差的缺点，提出了一个基于支持向量机的变压器故障组合预测模型及其求解步骤。
Aiming at the low forecasting accuracy of traditional predictive approaches, a combinational model is proposed on the basis of SVM theory in this paper.
通过对实际故障变压器油中溶解气体的分析研究，提出了用“无编码比值法”分析和判断变压器故障性质的诊断方法。
Through the analysis and research for the dissolved gas in transformer oil, the "non-code ratio method" is given to analyse and judge transformer fault.
《大型电力变压器故障诊专家系统（TFDES）》研制开发成功，是将计算机人工智能应用于故障诊断的一个实例。
The success of studying and developing of LARGE POWER TRANSFORMER FAULT DIAGNOSIS EXPERT SYSTEM (TFDES) is a concrete example of applying computer artificial intelligence to fault diagnosis.
结合平时的运行经验，对电气试验和气相色谱分析数据进行综合分析，可以比较准确地判断变压器故障类型和故障部位。
Together with the operation experience, the type and position of transformers fault can be determined correctly through comprehensive analysis on the data of electrical test and gas chromatography.
介绍了电力变压器在运行过程中出现的一些异常现象，分析了变压器故障征兆异常现象发生的原因，提出了变压器检修与维护措施。
Some abnormal phenomena of transformers in operation are introduced, and also the reasons are analyzed, at last some measures for transformer repair and maintenance are presented.
为更及时准确地发现变压器故障，缩短检测周期，逐步实现变压器的状态检修，变压器油色谱的在线监测应用而生，并逐步得到推广应用。
In order to detect faults timely, decrease the testing period and reach the status maintenance, on-line monitoring of transformer oil chromatogram has been developed and spread gradually.
据报道，火灾发生缘于对一号反应堆变压器的故障。
It was reported that the fire was caused by a malfunction on an electricity transformer at the No.1 reactor.
据报道，火灾发生缘于对一号反应堆变压器的故障。
It was reported that the fire was caused by a malfunction on an electricity transformer at the No.1 reactor.
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