Application of Gray Neural Network to Fault Diagnosis of Transformer

CHENG Jia-tang; XIONG Wei; DUAN Zhi-mei; LEI Jing-ye

doi:10.13296/j.1001-1609.hva.2010.08.003

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Application of Gray Neural Network to Fault Diagnosis of Transformer

更新时间：2025-04-26

- Application of Gray Neural Network to Fault Diagnosis of Transformer
- High VoltageApparatus Vol. 46, Issue 8, Pages: 56-58+62(2010)
- 作者机构：
  
  红河学院工学院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2010.08.003
  CLC： TM407
- Published：2010
- 稿件说明：
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[1]程加堂,熊伟,段志梅,雷竞业.灰色神经网络在变压器故障诊断中的应用[J].高压电器,2010,46(08):56-58+62.

CHENG Jia-tang, XIONG Wei, DUAN Zhi-mei, et al. Application of Gray Neural Network to Fault Diagnosis of Transformer[J]. High voltageapparatus, 2010, 46(8): 56-58+62.
[1]程加堂,熊伟,段志梅,雷竞业.灰色神经网络在变压器故障诊断中的应用[J].高压电器,2010,46(08):56-58+62. DOI： 10.13296/j.1001-1609.hva.2010.08.003.

CHENG Jia-tang, XIONG Wei, DUAN Zhi-mei, et al. Application of Gray Neural Network to Fault Diagnosis of Transformer[J]. High voltageapparatus, 2010, 46(8): 56-58+62. DOI： 10.13296/j.1001-1609.hva.2010.08.003.

摘要

针对变压器故障类型受油中溶解多种气体含量的影响

为提高变压器故障诊断的准确性

笔者使用灰色神经网络建立故障诊断模型

拟合输入与输出之间的复杂非线性函数关系

结果证明了该方法的可行性。

Abstract

Identification of transformer fault types is disturbed by a variety of dissolved gases in oil.To enhance the accuracy of fault diagnosis of transformers

a gray neural network model is established in this paper

and nonlinear mapping between input and output is fitted.Simulation result verifies the feasibility of the proposed method.

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