A Method of Corona Discharge Pattern Recognition Based on T-S Fuzzy Neural Network

ZHAO Da-wei; ZHENG Dian-chun; ZHANG Zhong-lin; L Shu-ming

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A Method of Corona Discharge Pattern Recognition Based on T-S Fuzzy Neural Network

更新时间：2026-07-10

- A Method of Corona Discharge Pattern Recognition Based on T-S Fuzzy Neural Network
- Vol. 16, Issue 4, Pages: 45-50(2011)
- 作者机构：
  
  哈尔滨理工大学电气与电子工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM851;TP183
- Published：2011
- 稿件说明：
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ZHAO Da-wei, ZHENG Dian-chun, ZHANG Zhong-lin, et al. A Method of Corona Discharge Pattern Recognition Based on T-S Fuzzy Neural Network[J]. 2011, 16(4): 45-50.
DOI：

ZHAO Da-wei, ZHENG Dian-chun, ZHANG Zhong-lin, et al. A Method of Corona Discharge Pattern Recognition Based on T-S Fuzzy Neural Network[J]. 2011, 16(4): 45-50. DOI：

摘要

提出了基于T-S模糊神经网络的电晕放电模式识别方法

设计制作了三类电晕放电实验模型

并从采集的电晕放电信号中提取最大值、最小值、均值及其分形维数作为网络的输入特征向量

根据特征向量维数、隶属度函数类型及隶属度函数个数对T-S模糊神经网络的拓扑结构进行分析

将输入神经元个数为4、隶属度函数层为3个高斯型函数的网络确定为电晕放电的模式识别网络

并对此类网络进行训练和测试

结果表明此网络用于电晕放电模式识别是有效的.

Abstract

T-S fuzzy neural network(T-S FNN) is presented to recognize the types of corona discharge.Three types of corona discharge model are made

the maximum

minimum

mean and fractal dimension are extracted from sampling corona discharge signals and then used as the input vectors of neural network.T-S FNN topological structure is investigated in accordance with the number of input vectors

membership functions and the number of membership functions.The T-S FNN

with 4 input neurons and 3 Gaussian functions

is confirme...

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