| 电力变压器故障诊断的人工神经网络方法 |
| |
| 引用本文： | 符杨,张鑫,沈斌.电力变压器故障诊断的人工神经网络方法[J].上海电力学院学报,1998,14(4):1-7. |
| |
| 作者姓名： | 符杨 张鑫 沈斌 |
| |
| 作者单位： | 电力工程系;电力工程系;电力工程系 |
| |
| 摘 要： | 电力变压器故障诊断对变压器、电力系统的安全运行有着十分重要的意义．在介绍人工神经网络（ANN）和模糊理论的基本工作原理的基础上，针对变压器故障诊断的特点，运用油中溶解气体分析法（DGA），采用分块化的反向传播神经网络（BP），建立了变压器故障诊断的神经网络模型．通过训练和实际测试，表明了这一方法的有效性和可行性．
|
| 关 键 词： | 人工神经网络 故障诊断 电力变压器 溶解气体分析 反向传播 |
| 收稿时间： | 1998/10/15 0:00:00 |
A Neural Network Approach to Power Transformer Fault Diagnosis |
| |
| Fu Yang,Zhang Xin and Shen Bin.A Neural Network Approach to Power Transformer Fault Diagnosis[J].Journal of Shanghai University of Electric Power,1998,14(4):1-7. |
| |
| Authors: | Fu Yang Zhang Xin and Shen Bin |
| |
| Affiliation: | Department of Electric Power Engineering |
| |
| Abstract: | Diagnosis of power transformer abnormality is important for power system reliability.The basic principle of artificial neural network (ANN) and fuzzy set theory are described in this paper. Dissolved gas analysis are used according to the characteristics of transformer fault diagnosis. The neural network model based on transformer fault diagnosis is built by using moduler back propagation (BP). The results of training and usting show that the method is effective and available. |
| |
| Keywords: | artifical neural network (ANN) fault diagnosis power transformer dissolved gas analysis (DGA) back propagation (BP) |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《上海电力学院学报》浏览原始摘要信息 |
|
点击此处可从《上海电力学院学报》下载全文 |
