本文已被：浏览 1362次 下载 1228次
投稿时间：2004-06-21
投稿时间：2004-06-21
中文摘要: 提出一种新型人工智能的应用,运用模糊控制理论将人工神经网络、专家系统技术结合起来,构成ESANN系统,对运行中的变压器故障进行诊断.重点介绍了ESANN的操作结构,并通过现场实例说明了该智能型系统较ANN和ES单独运行时具有更优性能.
Abstract:The AI(artificial intelligence) techniques include artificial neural network(ANN), expert system(ES), fuzzy logic, evolutionary algorithm. In serious non-linear system, AI performance could be superior to other methods. In this paper, a hybrid algorithm…ESANN, which combines expert system(ES) with artificial neural network(ANN), is applied to transformer fault diagnosis using dissolved gas-in-oil analysis(DGA). Test results show that the system has better performances than ES or ANN used separately.
文章编号：20040407 中图分类号： 文献标志码：
基金项目:
| 作者 | 单位 |
| 刁婷婷 | 武汉大学 电气工程学院, 湖北 武汉 430072 |
| Author Name | Affiliation |
| DIAO Ting-ting | School fo Electrical Engineering, Wuhan University, Wuhan 430072, China |
引用文本：
刁婷婷.人工智能在变压器故障检测中的应用[J].上海电力大学学报,2004,20(4):29-33.
DIAO Ting-ting.Application of the Intelligent Diagnosing System for Power Transformer Fault[J].Journal of Shanghai University of Electric Power,2004,20(4):29-33.
刁婷婷.人工智能在变压器故障检测中的应用[J].上海电力大学学报,2004,20(4):29-33.
DIAO Ting-ting.Application of the Intelligent Diagnosing System for Power Transformer Fault[J].Journal of Shanghai University of Electric Power,2004,20(4):29-33.