The result of applying in transformer fault diagnoses is outstanding.
将其应用在变压器故障诊断中，取得较好的诊断效果。
A neural network approach to power transformer fault diagnosis is proposed in this paper.
提出并研究了电力变压器故障诊断的人工神经网络方法。
Transformer fault diagnosis technology is divided into the state assessment and fault diagnosis.
变压器故障诊断技术分为状态评价和故障诊断两个部分。
Experimental results show that Bayes classifier is suitable for the transformer fault diagnosis.
实验表明提出的选择性贝叶斯分类器适于变压器故障诊断。
The transformer fault diagnosis is very important to the safety and economic operation of power system.
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。
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。
By analyzing the causes of transformer failure, we find transformer fault is the result of many factors.
通过分析变压器的故障原因，发现变压器的故障是多种因素作用的结果。
The Operation of power transformer fault diagnosis is an important way to guide transformer maintenance.
电力变压器的运行故障诊断是指导变压器检修的重要手段。
Transformer fault diagnose and fault prediction are the basis of the transformer condition based maintenance.
变压器故障诊断和故障预测是保证其正常运行并进行状态维修的基础。
E Lin. J M Ling. C L Huang An expert system systems for transformer fault diagnosis using dissolved gas analysis.
孙才新。郭俊峰。廖瑞金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。
It is a widely used and quit efficient method to use gas dissolved in oil as character to diagnose transformer fault.
以油中溶解气体为特征量对变压器进行故障诊断是一种使用广泛而十分有效的方法。
This paper proposes a new transformer fault diagnostic method using fuzzy neural network based on mind evolutionary algorithm.
本文提出一种基于思维进化算法的模糊神经网络变压器故障诊断方法。
The paper proposes new power transformer fault diagnosis approach to deal with the imperfect signals, caused by different cases.
运用粗糙集理论研究了因各种复杂因素造成的不完备信号模式下电力变压器故障诊断的方法。
A synthetic fault dia gnosis method based on RS theory for electric power transformer fault character and fault location is proposed.
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。
In this paper we have done in-depth research in transformer data warehouse construction, transformer fault diagnosis and fault forecast.
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。
Therefore, it is significant to research the technique of transformer fault diagnosis and improve the level of operation and maintenance.
因此，研究变压器故障诊断技术以及如何提高变压器的运行维护水平具有重要的意义。
Based on fuzzy logic theory and artificial neural networks, the method of the transformer fault diagnosis with fuzzy neural networks is presented.
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。
In this article, it is studied for the application of least squares support vector machine LS-SVM in the transformer fault diagnosis and prediction.
论文围绕最小二乘支持向量机ls - SVM在变压器故障诊断、故障预测中的应用进行了研究。
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.
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。
Based on Bayesian optimal classifier, combining with rough set and fuzzy set, a new transformer fault diagnosis and maintenance mode is presented in the paper.
基于粗糙集、模糊集和贝叶斯最优分类器，提出一种变压器绝缘故障诊断与维护的综合决策模型。
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。
Expert system of transformer fault diagnosis based on knowledge base is posed and general structure of system and object-oriented model are discussed in the paper.
提出了基于知识库的变压器故障诊断专家系统。文中给出系统总体结构模型和面向对象模型。
Simulation results show that the iterations are fewer, convergence rate is faster than the improved BP algorithm, and the transformer fault types can be distinguished.
仿真结果表明：改进后的粒子群算法迭代次数少，收敛速度比改进的BP算法快，可以对变压器的故障类型进行区分。
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.
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。
This system mainly includes the transformer oil chromatograph forecast, the transformer fault diagnosis as well as the data warehouse OLAP analysis and so on several modules.
该系统主要包括变压器油色谱预测、变压器故障诊断以及数据仓库OLAP分析等几个模块。
A diagnostic method integrating case based reasoning with fuzzy theory is presented in this paper, and a practical model for power transformer fault diagnosis is further built up.
提出一种在范例推理框架上集成模糊数学的故障诊断方法，并进一步建立起可应用于电力变压器故障诊断的实用模型。
According to the modified least square algorithm of system identification technique, a diagnostic model of power transformer fault is determined and described by fuzzy relation matrix.
采用系统辨识的最小二乘法的改进算法，确定了一种用模糊关系矩阵表示电力变压器故障诊断模型。
In the transformer fault diagnosis, the fault can be reflected by different characteristic signal from different side, due to complexity of fault reason and phenomenon of power transformer.
电力变压器发生故障的部位多，故障原因、现象复杂，在故障诊断中，可以通过变压器不同方面的特征信号从不同侧面来反映变压器的故障。
In the transformer fault diagnosis, the fault can be reflected by different characteristic signal from different side, due to complexity of fault reason and phenomenon of power transformer.
电力变压器发生故障的部位多，故障原因、现象复杂，在故障诊断中，可以通过变压器不同方面的特征信号从不同侧面来反映变压器的故障。
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