Application of RBF Network with Improved Fisher Ratio to Default Diagnosis of Oil-immersed Transformer

SUN Xiao-yun; LIU Dong-hui; LIANG Yong-chun; LI Ai-hua

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Application of RBF Network with Improved Fisher Ratio to Default Diagnosis of Oil-immersed Transformer

更新时间：2025-04-26

- Application of RBF Network with Improved Fisher Ratio to Default Diagnosis of Oil-immersed Transformer
- High VoltageApparatus Vol. 45, Issue 2, Pages: 73-76(2009)
- 作者机构：
  
  河北科技大学
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM411
- Published：2009
- 稿件说明：
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[1]孙晓云,刘东辉,梁永春,李爱华.基于改进Fisher Ratio的RBF网络在油浸变压器故障诊断中的应用[J].高压电器,2009,45(02):73-76.

SUN Xiao-yun, LIU Dong-hui, LIANG Yong-chun, et al. Application of RBF Network with Improved Fisher Ratio to Default Diagnosis of Oil-immersed Transformer[J]. High voltageapparatus, 2009, 45(2): 73-76.
[1]孙晓云,刘东辉,梁永春,李爱华.基于改进Fisher Ratio的RBF网络在油浸变压器故障诊断中的应用[J].高压电器,2009,45(02):73-76. DOI：

SUN Xiao-yun, LIU Dong-hui, LIANG Yong-chun, et al. Application of RBF Network with Improved Fisher Ratio to Default Diagnosis of Oil-immersed Transformer[J]. High voltageapparatus, 2009, 45(2): 73-76. DOI：

摘要

针对Fisher Ratio不能使网络结构得到最大优化这一缺点

提出应用改进Fisher Ratio方法选择RBF网络隐层节点数及径向基函数中心

并采用改进的Fisher比算法完成基于DGA的油浸变压器故障诊断。结果表明

该方法能极大地简化网络结构

提高了分类能力和收敛精度。与改良电协研法相比

具有较好的故障识别效果。

Abstract

An improved Fisher Ratio method is presented for the default diagnosis of oil-immersed transformer based on the dissolved gas analysis.Owing to the disadvantages of Fisher Ratio method in RBF network structure optimization

this paper adopts the improved Fisher Ratio method to select the RBF centers and to optimize the network structure.The results show that the neural network structure is simplified significantly

the convergence precision and classification capacity are improved.Compared with the improved three Ratio ns method

this method has better faults identification.

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