Research on Prediction Algorithm of Circuit Breakers’ Mechanical Condition Based on Trip Coil Current

JIN Xiao-ming; SHAO Min-yan; WANG Xiao-hua

doi:10.13296/j.1001-1609.hva.2010.04.021

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Research on Prediction Algorithm of Circuit Breakers’ Mechanical Condition Based on Trip Coil Current

更新时间：2025-04-26

- Research on Prediction Algorithm of Circuit Breakers’ Mechanical Condition Based on Trip Coil Current
- High VoltageApparatus Vol. 46, Issue 4, Pages: 47-51(2010)
- 作者机构：
  
  浙江富阳市供电局
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2010.04.021
  CLC： TM561
- Published：2010
- 稿件说明：
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[1]金晓明,邵敏艳,王小华.基于脱扣线圈电流的断路器机械状态预测算法研究[J].高压电器,2010,46(04):47-51.

JIN Xiao-ming, SHAO Min-yan, WANG Xiao-hua. Research on Prediction Algorithm of Circuit Breakers’ Mechanical Condition Based on Trip Coil Current[J]. High voltageapparatus, 2010, 46(4): 47-51.
[1]金晓明,邵敏艳,王小华.基于脱扣线圈电流的断路器机械状态预测算法研究[J].高压电器,2010,46(04):47-51. DOI： 10.13296/j.1001-1609.hva.2010.04.021.

JIN Xiao-ming, SHAO Min-yan, WANG Xiao-hua. Research on Prediction Algorithm of Circuit Breakers’ Mechanical Condition Based on Trip Coil Current[J]. High voltageapparatus, 2010, 46(4): 47-51. DOI： 10.13296/j.1001-1609.hva.2010.04.021.

摘要

断路器脱扣线圈电流波形中包含了断路器脱扣回路和操作过程的诸多信息。通过对脱扣线圈电流的分析

可实现对脱扣线圈、铁芯、返回弹簧、脱扣杆及断路器操作过程等参数的故障诊断。笔者介绍了脱扣线圈电流信号的提取、分析以及故障预测算法。提出了基于滑动时间窗的人工神经网络预测算法

并应用于断路器机械故障的预测。笔者的研究成果为实现断路器机械状态在线监测与故障诊断提供了基础。

Abstract

The trip coil current contains lots of information

which includes the trip and operation process of circuit breaker.Through analysis of trip coil current

the fault diagnosis of trip coil

core

return spring

trip pole

and operation process of circuit breaker can be realized.In this paper

thepick-up and analysis methods

fault prediction algorithm of trip coil current signal were introduced.A new prediction algorithm based on sliding time window and ANN was introduced

which is applied to mechanical fault prediction of circuit breaker.The research results introduced in this paper provide the basis for on-line monitoring and fault diagnosis of circuit breaker’s mechanical condition.

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Related Institution

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江苏省电力公司南京供电公司江苏南京 210008

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State Key Lab. of Electrical Insulation for Power Equipment, Xi’an Jiaotong University

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