APPLICATION OF ARTIFICIAL NEURAL NETWORK COMBINED WITH EVOLUTIONARY    ALGORITHM TO FAULT DIAGNOSIS OF POWER TRANSFORMER

ZANG Hong  zhi; XU Jian  zheng; YU Xiao  dong

您当前的位置：

首页 >

文章列表页 >

APPLICATION OF ARTIFICIAL NEURAL NETWORK COMBINED WITH EVOLUTIONARY ALGORITHM TO FAULT DIAGNOSIS OF POWER TRANSFORMER

更新时间：2025-04-26

- APPLICATION OF ARTIFICIAL NEURAL NETWORK COMBINED WITH EVOLUTIONARY ALGORITHM TO FAULT DIAGNOSIS OF POWER TRANSFORMER
- High VoltageApparatus Issue 4, Pages: 37-38(2002)
- 作者机构：
  
  1. 山东大学电气工程学院
  2. 山东大学电气工程学院山东济南250061
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM855
- Published：2002
- 稿件说明：
移动端阅览
[1]臧宏志,徐建政,俞晓冬.结合进化算法的人工神经网络在变压器故障诊断中的应用[J].高压电器,2002(04):37-38.

ZANG Hong zhi, XU Jian zheng, YU Xiao dong. APPLICATION OF ARTIFICIAL NEURAL NETWORK COMBINED WITH EVOLUTIONARY ALGORITHM TO FAULT DIAGNOSIS OF POWER TRANSFORMER[J]. High voltageapparatus, 2002, (4): 37-38.
[1]臧宏志,徐建政,俞晓冬.结合进化算法的人工神经网络在变压器故障诊断中的应用[J].高压电器,2002(04):37-38. DOI：

ZANG Hong zhi, XU Jian zheng, YU Xiao dong. APPLICATION OF ARTIFICIAL NEURAL NETWORK COMBINED WITH EVOLUTIONARY ALGORITHM TO FAULT DIAGNOSIS OF POWER TRANSFORMER[J]. High voltageapparatus, 2002, (4): 37-38. DOI：

摘要

人工神经网络在变压器故障诊断中有广泛的应用。常用的BP算法具有易陷入局部极小、收敛速度慢等缺点

给故障诊断带来不便。为此提出利用进化算法优化人工神经网络结构的初值

利用可靠性分析技术对输入数据进行处理

从而有助于较快获得最佳的权值矩阵

实现变压器故障诊断。

Abstract

ANN（Artificial Neural Network）has been widely used in fault diagnosis of power transformer.According to the drawbacks of BP algorithm

this paper proposes an kind of evolutionary algorithm to optimize the initial value of ANN structure

and processes the input data by data reliability analysis

then gets the best array of weight in order to realize the fault diagnosis of power transformer.

关键词

Keywords

references

Views

165

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Fault Diagnosis Model of Transformer and Its Generalization Performance Based on Simulated Annealing and Multilayer Perceptron

Study on Insulation On-line Monitoring Expert System in Substation Based on Neural Network

Real-time Status Evaluation of Transformer with Multi-information Fusion Technology

Pattern Recognition of XLPE Cable Partial Discharge Under Oscillating Voltage

Application of Neural Network Ensemble Model in Mechanical Fault Identification of High Voltage Circuit Breaker

Related Author

YANG Shiyou

ZOU Guoping

RAO Shaowei

LI Qian

GAO Erya

SONG Bing

DU Yu

FENG Yuhui

Related Institution

Suzhou Nuclear Power Research Institute

College of Electrical Engineering, Zhejiang University

School of Electrical Engineering,Wuhan University

武汉大学电气工程学院湖北武汉430072

Changzhi Power Supply Subcompany

⁰