Partial Discharge Pattern Recognition of Cables Based on Fuzzy Adaptive Resonance Theory Neural Network

舒锦宏; 徐灵江; 吕延春; 段文华; 钟守平

doi:10.19585/j.zjdl.202111002

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Partial Discharge Pattern Recognition of Cables Based on Fuzzy Adaptive Resonance Theory Neural Network

更新时间：2026-01-23

- Partial Discharge Pattern Recognition of Cables Based on Fuzzy Adaptive Resonance Theory Neural Network
- Vol. 40, Issue 11, Pages: 10-15(2021)
- 作者机构：
  
  1. 国网浙江省电力有限公司紧水滩水力发电厂
  2. 国网浙江省电力有限公司
  3. 南京南瑞继保电气有限公司
- 作者简介：
- 基金信息：
- DOI：10.19585/j.zjdl.202111002
  CLC： TM855
- Published：2021
- 稿件说明：
移动端阅览
舒锦宏, 徐灵江, 吕延春, et al. Partial Discharge Pattern Recognition of Cables Based on Fuzzy Adaptive Resonance Theory Neural Network[J]. 2021, 40(11): 10-15.
DOI：

舒锦宏, 徐灵江, 吕延春, et al. Partial Discharge Pattern Recognition of Cables Based on Fuzzy Adaptive Resonance Theory Neural Network[J]. 2021, 40(11): 10-15. DOI： 10.19585/j.zjdl.202111002.

摘要

不同类型的电缆PD(局部放电)

其相位谱图和统计参数存在差异。个别故障间的差异较小

模式识别难度大

为此提出了一种基于Fuzzy-ART(模糊自适应共振理论)的电缆PD模式识别方法。设置了4种电缆人工缺陷并通过实验对该方法进行验证

结果表明

Fuzzy-ART神经网络具有快速、稳定的学习和分类能力

不仅能对已知的电缆PD进行模式识别

而且能够有效识别未知电缆PD模式

具有广泛的适用性。

Abstract

The phase spectrum and statistical parameters of different types of cable partial discharge（PD） are different. Since the difference between individual faults is slight

pattern recognition is difficult. Therefore

a pattern recognition method of cable PD based on fuzzy adaptive resonance theory（Fuzzy-ART） is proposed.Four kinds of artificial defects are set up

and the method is verified by experiments. The experimental results show that the Fuzzy-ART neural network is capable of fast and stable learning and classification. It can not only recognize the known cable PD pattern but also recognize the unknown cable PD fault pattern effectively.It is widely applicable to cable PD pattern recognition.

关键词

Keywords

references

Views

106

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A partial discharge detection method for switch cabinets based on a second-order circuit

Recognition of partial discharge patterns of GIS based on CWGAN-div and Mi-CNN

Application of Vibration Analysis in Transformer Fault Diagnosis and Hidden Peril Management

Principle and Application of SIEMENS Partial Discharge Monitoring

Analysis on 126kV Gas Insulation Substation Discharg Inside

Related Author

LIN Yifu

YE Zhaoping

CHEN Xue

YE Chang

ZHENG Shusheng

ZENG Xingyi

LIU Hangbin

LIN Houfei

Related Institution

State Grid Fujian Electric Power Co.， Ltd.

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources， North China Electric Power University

State Grid Fujian Wuyishan Power Supply Co.， Ltd.， Wuyishan

College of Electrical Engineering and Automation, Fuzhou University

State Grid Pingyang Power Supply Company

AI问答

⁰