Fault Feature Extraction Method for the Circuit Breaker with Permanent Magnetic Mechanism Based on Control Loop

ZHAO Yu; GENG Pulong; XU Chunyu; SONG Jiancheng

doi:10.13296/j.1001-1609.hva.2017.02.007

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Fault Feature Extraction Method for the Circuit Breaker with Permanent Magnetic Mechanism Based on Control Loop

更新时间：2025-04-26

- Fault Feature Extraction Method for the Circuit Breaker with Permanent Magnetic Mechanism Based on Control Loop
- High VoltageApparatus Vol. 53, Issue 2, Pages: 39-46(2017)
- 作者机构：
  
  太原理工大学煤矿电气设备与智能控制山西省重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2017.02.007
  CLC： TM561
- Published：2017
- 稿件说明：
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[1]赵钰,耿蒲龙,许春雨,宋建成.基于控制回路的断路器永磁机构故障特征提取方法[J].高压电器,2017,53(02):39-46.

ZHAO Yu, GENG Pulong, XU Chunyu, et al. Fault Feature Extraction Method for the Circuit Breaker with Permanent Magnetic Mechanism Based on Control Loop[J]. High voltageapparatus, 2017, 53(2): 39-46.
[1]赵钰,耿蒲龙,许春雨,宋建成.基于控制回路的断路器永磁机构故障特征提取方法[J].高压电器,2017,53(02):39-46. DOI： 10.13296/j.1001-1609.hva.2017.02.007.

ZHAO Yu, GENG Pulong, XU Chunyu, et al. Fault Feature Extraction Method for the Circuit Breaker with Permanent Magnetic Mechanism Based on Control Loop[J]. High voltageapparatus, 2017, 53(2): 39-46. DOI： 10.13296/j.1001-1609.hva.2017.02.007.

摘要

为了识别高压断路器故障模式并提取其故障特征

文中以ZNY1-10（6）/630-12.5型高压断路器永磁操作机构为研究对象

分析了断路器分合闸时操作机构的动作过程

在此基础上模拟了操作机构供电电压异常、分合闸线圈老化、触头及连杆机构卡涩、储能电容故障、辅助开关失效5种常见故障

选择控制回路中分合闸线圈电流和电容电压做为监测信号

确定并提取了对应特征量。提出了一种基于模糊理论的断路器故障特征提取算法

获得了故障与特征量变化的对应关系

实现对故障的区分、归类并达到辨识的目的

为高压断路器故障诊断及寿命评估提供了判断依据。

Abstract

To recognize fault pattern and extract fault feature of an HV circuit breaker

the permanent magnetic mechanism of the ZNY1-10（6）/630-12.5 type HV circuit breaker is taken as an example to analyze the opening/closing movement of the permanent magnetic mechanism. Then five common failures

including the failure of the power supply

the aging of the opening/closing coil

the jamming of the contacts and linkage mechanism

the failure of the energy-storage capacitor

and the failure of the auxiliary switch

are simulated. The closing coil current

opening coil current and capacitor voltage of the control loop are selected as monitoring signals

and the related features are extracted. In order to distinguish and classify the failures and extract the features

a fault feature ex traction algorithm is proposed based on the fuzzy theory. And the relationship between the failures and the features are obtained. This study may provide evidence for the HV circuit breaker fault diagnosis and remaining life evaluation.

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