基于振动信号的高压断路器弹簧疲劳程度检测方法

doi:10.19595/j.cnki.1000-6753.tces.212014

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摘要针对在运高压断路器时有发生弹簧疲劳故障且传统方法无法在线检测的问题,该文提出一种基于振动信号的高压断路器弹簧疲劳程度检测方法。首先,根据高压断路器的工作原理,对其运动过程能量传递机理进行分析,并将整体进行了质点简化;然后,对振动信号进行滤波处理,结合简化的质点模型,构建不同测点动能的函数关系式,换算得到各个质点的等效能量分布;最后,采用非线性最小二乘法构建出高压断路器能量传递函数,并推算出了弹簧储能值。实验结果表明,利用所提方法计算得到的弹簧储能值检测误差在2.2%以内,验证了所提方法的有效性和准确性,为高压断路器弹簧疲劳程度在线检测提供了一种新的思路。

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	豆龙江
	何玉灵
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	张雄
	王晓龙

关键词 ：高压断路器, 弹簧疲劳, 振动信号, 非线性最小二乘法

Abstract：Spring fatigue is a typical fault that frequently occurs in high-voltage circuit breakers. However, most traditional test methods cannot detect online. Therefore, a way to detect the spring fatigue fault based on vibration signals is proposed. Firstly, according to the working principle of the high-voltage circuit breaker, the energy transfer mechanism in the operation process is analyzed, and the whole structure is simplified into particle points. Then, after filtering the noise in the vibration signal, the equivalent energy distribution is calculated by constructing the kinetic energy function of each particle point. Finally, the energy transfer function of the high voltage circuit breaker is constructed by the nonlinear least square method to calculate the spring energy. The experimental results show that the detection error of the spring energy is within 2.2%, which verifies the effectiveness and accuracy of the proposed method. This method can provide a new way to detect spring fatigue in high-voltage circuit breakers.

Key words： High voltage circuit breaker spring fatigue vibration signal nonlinear least square method

收稿日期: 2021-12-10

PACS:

TM561

基金资助:国家自然科学基金（51777075, 51777074）、中央高校基本科研业务资金（2020MS110）、河北省自然科学基金（E2020502031）、保定市科技计划基础研究专项基金（2172P010）和河北省青年拔尖人才支持计划（[2018]-27）资助项目

通讯作者: 何玉灵男,1984年生,副教授,博士生导师,研究方向为复杂机电系统建模。E-mail: heyuling1@ncepu.edu.cn

作者简介: 豆龙江男,1988年生,博士,讲师,研究方向为电站设备在线监测与故障诊断。E-mail: doulongjiang@126.com

引用本文:

豆龙江, 何玉灵, 万书亭, 张雄, 王晓龙. 基于振动信号的高压断路器弹簧疲劳程度检测方法[J]. 电工技术学报, 2022, 37(24): 6420-6430. Dou Longjiang, He Yuling, Wan Shuting, Zhang Xiong, Wang Xiaolong. Detecting Method of High Voltage Circuit Breaker Spring Fatigue Based on Vibration Signal. Transactions of China Electrotechnical Society, 2022, 37(24): 6420-6430.

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