Status Assessment of High Voltage Circuit Breaker Operating Mechanism Based on K-means and SOM Hybrid Algorithm

ZHAO Lihua; ZHAO Maolin; XIA Wei; WANG Zhong

doi:10.13296/j.1001-1609.hva.2020.01.006

您当前的位置：

首页 >

文章列表页 >

Status Assessment of High Voltage Circuit Breaker Operating Mechanism Based on K-means and SOM Hybrid Algorithm

更新时间：2025-04-26

- Status Assessment of High Voltage Circuit Breaker Operating Mechanism Based on K-means and SOM Hybrid Algorithm
- High VoltageApparatus Vol. 56, Issue 1, Pages: 36-42(2020)
- 作者机构：
  
  1. 四川大学电气信息学院
  2. 国网四川省电力公司成都供电公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2020.01.006
  CLC： TM561
- Published：2020
- 稿件说明：
移动端阅览
[1]赵莉华,赵茂林,夏炜,王仲.基于K-means和SOM混合算法的高压断路器操作机构状态评估[J].高压电器,2020,56(01):36-42.

ZHAO Lihua, ZHAO Maolin, XIA Wei, et al. Status Assessment of High Voltage Circuit Breaker Operating Mechanism Based on K-means and SOM Hybrid Algorithm[J]. High voltageapparatus, 2020, 56(1): 36-42.
[1]赵莉华,赵茂林,夏炜,王仲.基于K-means和SOM混合算法的高压断路器操作机构状态评估[J].高压电器,2020,56(01):36-42. DOI： 10.13296/j.1001-1609.hva.2020.01.006.

ZHAO Lihua, ZHAO Maolin, XIA Wei, et al. Status Assessment of High Voltage Circuit Breaker Operating Mechanism Based on K-means and SOM Hybrid Algorithm[J]. High voltageapparatus, 2020, 56(1): 36-42. DOI： 10.13296/j.1001-1609.hva.2020.01.006.

摘要

为诊断高压断路器操作机构故障

文中基于分合闸线圈电流曲线

提出了采用K-means与SOM神经网络相结合的混合算法

对断路器操作机构进行状态评估。对某批次252 k V高压断路器操作机构进行分合闸线圈电流数据采集;建立了K-means与SOM神经网络相结合的混合算法模型;对测试的断路器操作机构进行状态分析。结果表明

混合算法能够将操作机构不同状态进行聚类

可将相同故障分在同一类别。并将混合算法模型与SOM神经网络模型和K-means模型作比较

结果表明

混合算法模型在计算速度和聚类准确率上都优于其他两种模型。

Abstract

In order to diagnose faults of operation mechanism of high voltage circuit breaker

based on the current curve of opening/closing coil

a hybrid algorithm combining K-means and SOM neural network is proposed to assess the status of circuit breaker operation. The data of opening/closing coil current is collected from the operating mechanisms of 252 kV high voltage circuit breakers. A hybrid algorithm model of K-means and SOM neural networks is established to analyze the status of the testing circuit breaker operating mechanism. The results show that the hybrid algorithm can be used to cluster the different status of the operating mechanism

and the same fault can be divided into the same category. The hybrid algorithm model is compared with the SOM neural network model and K-means model

and the results show that the hybrid algorithm is better than the other two models in calculating speed and clustering accuracy.

关键词

Keywords

references

Views

240

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Fault Diagnosis for High Voltage Circuit Breaker Based on Least Square Support Vector Machine

Status Assessment of Circuit Breakers Based on Coil Current Characteristic Quantity Optimization

Multi-signal Joint Identification and Intelligent Diagnosis of High Voltage Circuit Breaker Faults Based on VMD-BiLSTM

Dynamic Analysis on Key Parts of SF₆ High-voltage Circuit Breaker Based on Impact Load

Mechanical Defect Detection Method of High Voltage Circuit Breaker Based on Motion Trajectory Detection and Support Vector Machine

Related Author

ZHANG Weizheng

LI Yongli

YAO Chuang

RONG Qiang

ZHU Linlin

JIANG Haiyang

ZHANG Hao

ZHANG Jinbo

Related Institution

Tianjin University Key laboratory of Smart Grid of Ministry of Education

State Grid Heilongjiang Power Company Limited Maintenance Company

Xi’an High Voltage Apparatus Research Institute Co., Ltd.

School of Automation Science and Electrical Engineering, Beihang University

Shandong Taikai High Voltage Switchgear Co., Ltd.

⁰