Power Transformer Fault Diagnosis Based on Neural Networks with Improved Particle Swarm Optimization

CHENG Jia-tang; XIONG Wei; XU Shao-kun; AI Li

doi:10.13296/j.1001-1609.hva.2012.02.002

您当前的位置：

首页 >

文章列表页 >

Power Transformer Fault Diagnosis Based on Neural Networks with Improved Particle Swarm Optimization

更新时间：2025-04-26

- Power Transformer Fault Diagnosis Based on Neural Networks with Improved Particle Swarm Optimization
- High VoltageApparatus Vol. 48, Issue 2, Pages: 42-45(2012)
- 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.2012.02.002
  CLC： TM41;TP183
- Published：2012
- 稿件说明：
移动端阅览
[1]程加堂,熊伟,徐绍坤,艾莉.基于改进粒子群优化神经网络的电力变压器故障诊断[J].高压电器,2012,48(02):42-45.

CHENG Jia-tang, XIONG Wei, XU Shao-kun, et al. Power Transformer Fault Diagnosis Based on Neural Networks with Improved Particle Swarm Optimization[J]. High voltageapparatus, 2012, 48(2): 42-45.
[1]程加堂,熊伟,徐绍坤,艾莉.基于改进粒子群优化神经网络的电力变压器故障诊断[J].高压电器,2012,48(02):42-45. DOI： 10.13296/j.1001-1609.hva.2012.02.002.

CHENG Jia-tang, XIONG Wei, XU Shao-kun, et al. Power Transformer Fault Diagnosis Based on Neural Networks with Improved Particle Swarm Optimization[J]. High voltageapparatus, 2012, 48(2): 42-45. DOI： 10.13296/j.1001-1609.hva.2012.02.002.

摘要

为了提高电力变压器故障诊断的准确性

采用了一种自适应变异粒子群优化神经网络的方法

用于BP网络的权值优化。并根据变压器的故障特征

用优化好的BP网络进行故障诊断。该算法修正了粒子个体行动

克服了标准粒子群和BP网络易陷入局部极小的问题。实例仿真结果表明

该方法具有较好的分类效果

具有一定的实用性。

Abstract

In order to improve the accuracy of fault diagnosis of power transformer

a method of neural networks optimized by adaptive mutation particle swarm optimization（AMPSO） is adopted

in which the improved PSO is combined with the BP algorithm to optimize the weight of BP neural network.According to transformer fault feature

the fault diagnosis is accomplished via the optimized neural network.This algorithm amends individual particle’s act

and overcomes the problem that the basic PSO and BP network are vulnerable to local minima.Simulation results show that the method is of better classification effectiveness and practicality.

关键词

Keywords

references

Views

509

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on Fault Diagnosis Method of Power Transformer Based on Capsule Networks

A New Neural Network for Fault Diagnosis of Partial Discharge in Power Transformers

Power Transformer Fault Diagnosis via Neural Network Based on Particle Swarm Optimization with Neighborhood Operator

Study on Fault Diagnosis for Power Transformer Based on Cloud Matter Element Analysis Principle and DGA

Application of Neural Network Based on Improved Particle Swarm Optimization in the Condition Monitoring of Transformer

Related Author

LUO Wenxuan

WANG Ru

LIN Hui

JIA Rong

XU Qi-hui

LI Hui

LIU Wei

XIE Qing1

Related Institution

International Education Institute, North China Electric Power University

College of Automation,Northwestern Polytechnic University

西北工业大学自动化学院陕西西安710072

College of Electrical Engineering,Xi’an University of Technology

西安理工大学电力工程系陕西西安710048

⁰