On-line Condition Monitoring of Operating Mechanism for SF<sub>6</sub> High Voltage Circuit Breakers Based on Vibration Signals

WANG Jifeng; TANG Wenhu; JI Tianyao

doi:10.13296/j.1001-1609.hva.2017.09.009

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On-line Condition Monitoring of Operating Mechanism for SF₆ High Voltage Circuit Breakers Based on Vibration Signals

更新时间：2025-04-26

- On-line Condition Monitoring of Operating Mechanism for SF₆ High Voltage Circuit Breakers Based on Vibration Signals
- High VoltageApparatus Vol. 53, Issue 9, Pages: 53-59+65(2017)
- 作者机构：
  
  华南理工大学电力学院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2017.09.009
  CLC： TM561.3
- Published：2017
- 稿件说明：
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[1]王继锋,唐文虎,季天瑶.基于振动信号的SF_6高压断路器操动机构状态监测[J].高压电器,2017,53(09):53-59+65.

WANG Jifeng, TANG Wenhu, JI Tianyao. On-line Condition Monitoring of Operating Mechanism for SF₆ High Voltage Circuit Breakers Based on Vibration Signals[J]. High voltageapparatus, 2017, 53(9): 53-59+65.
[1]王继锋,唐文虎,季天瑶.基于振动信号的SF_6高压断路器操动机构状态监测[J].高压电器,2017,53(09):53-59+65. DOI： 10.13296/j.1001-1609.hva.2017.09.009.

WANG Jifeng, TANG Wenhu, JI Tianyao. On-line Condition Monitoring of Operating Mechanism for SF₆ High Voltage Circuit Breakers Based on Vibration Signals[J]. High voltageapparatus, 2017, 53(9): 53-59+65. DOI： 10.13296/j.1001-1609.hva.2017.09.009.

摘要

操动机构作为高压断路器开断的一级执行元件

其机械状态的健康程度直接影响断路器的工作状况。而断路器动作时的振动信号是由断路器内部一系列机械部件的运动与撞击产生的

含有丰富的时域和频域信息

为了能够实时有效地监测断路器操动机构的状态

需要对操动机构不同部位不同状态下对应的振动信号进行分析

获取能够反映断路器状态的特征量作为评估操动机构状态的判据。文中的研究对象为弹簧疲劳和缓冲器失灵两种操动机构故障

首先

分别对两种故障和正常工况进行了大量的模拟实验并采集相应的机械振动信号

通过形态学滤波对振动信号进行必要的降噪处理;然后对信号进行时域、频域上的分析对比

并以相对小波包能量法获取振动信号各频带的能量分布;最后

采用支持向量机对各个工况下的频带能量进行训练

并预测了待测试振动信号对应的断路器机械状态。结果表明

该方法具有很高的状态识别准确率

能满足实际工程应用中断路器操动机构的机械状态在线监测要求。

Abstract

Vibration signals generated during operation of an SF

high voltage circuit breaker（HVCB）are caused by a series of events resulted from the movement and impact of its internal components. Such signals consist of abundant information in both the time domain and the frequency domain. In order to realize real-time condition monitoring of HVCB operating mechanism

the vibration signals corresponding to different parts of the operating mechanism need to be analyzed for obtaining the signals’ characteristics that can reflect HVCB condit

ion for state evaluation of the operating mechanism. In this paper

spring fatigue and buffer failure of HVCB are investigated. First

a large number of simulation experiments are carried out for the operating mechanism with the two kinds of faults or in normal working condition

hence the corresponding mechanical vibration signals are acquired and necessary noise reduction is performed by morphological filtering. Then

the signals are analyzed and compared in both the time domain and the frequency domain

and the energy distribution on each frequency band is obtained by the method of relative wavelet packet energy. Finally

support vector machine is employed to train the frequency band energy and predict the mechanical condition of HVCB. The results show that the proposed method has high state recognition accuracy

and can meet the requirement for on-line condition monitoring of HVCB operating mechanism.

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On-line Condition Monitoring of Operating Mechanism for SF6 High Voltage Circuit Breakers Based on Vibration Signals

DOI：10.13296/j.1001-1609.hva.2017.09.009

摘要

Abstract

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Keywords

references

On-line Condition Monitoring of Operating Mechanism for SF₆ High Voltage Circuit Breakers Based on Vibration Signals