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.
变压器油中溶解气体分析是变压器故障诊断的重要手段。
Dissolved Gases Analysisis an important method in diagnosis of the internal transformer's fault.
变压器故障诊断技术分为状态评价和故障诊断两个部分。
Transformer fault diagnosis technology is divided into the state assessment and 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。
Experimental results show that Bayes classifier is suitable for the transformer fault diagnosis.
并提出了改进的变压器故障诊断及状态检修决策支持系统结构。
Then the ameliorative system structure about transformer intelligent fault diagnosis and condition based maintenance decision support system is proposed in this thesis.
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.
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。
This paper proposes a new transformer fault diagnostic method using fuzzy neural network based on mind evolutionary algorithm.
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。
Transformer fault diagnose and fault prediction are the basis of the transformer condition based maintenance.
本文研究了GA -BP混合算法和粗糙理论在电力变压器故障诊断中的应用。
The applications of hybrid algorithm based on GA-BP and rough set theory in the fault diagnosis of power transformer are studied in this paper.
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.
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。
Therefore, it is significant to research the technique of transformer fault diagnosis and improve the level of operation and maintenance.
电力变压器故障诊断的仿真实验结果表明，利用该分类方法可以提高数据分类的精确性。
The result of simulative experiment for power transformers fault diagnosis shows that the method can overcome the before-mentioned shortcomings and improve the accuracy of data classification.
针对变压器故障诊断中的不足，介绍了模糊聚类分析的理论、方法及聚类效果的判别原则。
For the deficiency of fault diagnosis of power transformer, fuzzy set analysis theory and method are described and applied to the diagnosis of power transformer.
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.
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。
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.
研究了径向基函数(RBF)神经网络的模型结构及其在电力变压器故障诊断中的实现方法。
In this paper, the model structure and the application of Radial Basis Function Neural Network (RBF NN) to fault diagnosis of power transformer is presented.
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。
The paper proposes new power transformer fault diagnosis approach to deal with the imperfect signals, caused by different cases.
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。
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.
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。
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.
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。
In this article, it is studied for the application of least squares support vector machine LS-SVM in the transformer fault diagnosis and prediction.
针对当前变压器故障诊断中的几个主要问题，利用气相色谱对变压器油中溶解气体成分进行了跟踪分析。
Being directed at the mail problems in the diagnosis, we analyzed the composition of gases dissolved in insulation oil.
变压器故障诊断中的信息具有随机性和不确定性的特点，提出一种基于模糊贝叶斯网络的变压器故障诊断方法。
Due to the randomness and uncertainty of power transformer fault diagnosis data, a novel specific transformer fault diagnosis method based on Fuzzy Bayesian network is proposed in this paper.
通过对电力变压器故障诊断问题和语音识别问题的比较分析，论述了HMM应用于电力变压器故障诊断的可行性。
Finally, by comparing to speech recognition, the feasibility of the HMM methods applied to power transformer faults diagnosis is discussed.
通过对电力变压器故障诊断问题和语音识别问题的比较分析，论述了HMM应用于电力变压器故障诊断的可行性。
Finally, by comparing to speech recognition, the feasibility of the HMM methods applied to power transformer faults diagnosis is discussed.
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