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[1]杨秋玉,阮江军,黄道春,等. 基于振动信号的高压断路器触头超程状态识别[J].电机与控制学报,2019,23(06):27-34.[doi:10.15938/j.emc.2019.06.004]
 YANG Qiu-yu,UAN Jiang-jun,HUANG Dao-chun,et al. Over-travel state identification for electrical contact of high-voltage circuit breaker using vibration signature[J].,2019,23(06):27-34.[doi:10.15938/j.emc.2019.06.004]
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 基于振动信号的高压断路器触头超程状态识别
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
23
期数:
2019年06
页码:
27-34
栏目:
出版日期:
2019-06-15

文章信息/Info

Title:
 Over-travel state identification for electrical contact of high-voltage circuit breaker using vibration signature
作者:
 杨秋玉1 阮江军1 黄道春1 庄志坚2
 ( 1. 武汉大学,电气工程学院,武汉430072; 2. ABB( 中国) 有限公司中压产品技术中心,福建厦门361006)
Author(s):
 YANG Qiu-yu1 RUAN Jiang-jun1 HUANG Dao-chun1 ZHUANG Zhi-jian2
 ( 1. School of Electrical Engineering,Wuhan University,Wuhan 430072,China;2. Power Product Medium Voltage Technology Center,ABB ( China) Co. Ltd. ,Xiamen 361006,China)
关键词:
 高压断路器 触头超程 振动信号 经验模态分解 Hilbert 边际谱能量
Keywords:
 high-voltage circuit breaker over-travel of electrical contact vibration signal empirical mode decomposition Hilbert marginal spectrum energy
分类号:
TM 561
DOI:
10.15938/j.emc.2019.06.004
文献标志码:
A
摘要:
提出了一种利用振动信号识别高压断路器触头超程状态的新方法。高压断路器分/合闸动作过程中产生的振动信号包含有触头超程状态信息,合适的信号处理方法及特征提取技术可以将该信息提取出来。试验获取高压断路器不同触头超程下的振动信号,采用经验模态分解( EMD) 对振动信号进行分解,计算分解得到的本征模态函数( IMF) Hilbert 边际谱能量,作为触头超程状态特征量,并详细分析该特征量与触头超程之间的变化规律。结果表明,所提方法能够有效提取高压断路器的触头超程状态信息,能够实现触头超程状态的准确识别,为高压断路器触头超程状态在线监测与诊断提供一种新方法。
Abstract:
 This paper presents a method for identifying the state of electrical contact’s over-travel in highvoltage circuit breaker ( HVCB) using vibration signature. The vibration signal generated during the process of HVCB opening /closing operation contains the information of electrical contact’ s over-travel,which can be extracted by appropriate feature extraction method. The vibration signals of different overtravels were obtained by experimental investigation. The empirical mode decomposition ( EMD) was used to decompose the vibration signal,and the Hilbert marginal spectral energy of the decomposed intrinsic mode function ( IMF) was calculated as the feature for identifying over-travel state. Furthermore,the variation rule between the feature and the over-travel was analyzed in detail. The experimental results show that the proposed method effectively extracts the over-travel state information from HVCB’s vibration signal,which realizes the accurate identification of the over-travel’s state. This method provides a feasible approach for online monitoring and diagnosis of HVCB’s electrical contact over-travel.

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备注/Memo

备注/Memo:
收稿日期: 2017 - 11 - 15
基金项目: 国家重点研发计划( 2017YFB0902400)
作者简介: 杨秋玉( 1986—) ,男,博士研究生,研究方向为电气设备在线监测与故障诊断、高电压与绝缘技术;
阮江军( 1968—) ,男,教授,博士生导师,研究方向为电磁场工程应用、电磁兼容; 高电压与绝缘技术;
黄道春( 1976—) ,男,副教授,博士生导师,研究方向为输变电设备外绝缘、高压电器、电磁场数值计算及其工程应用;
庄志坚( 1986—) ,男,硕士,高级工程师,研究方向为电气设备在线监测与故障诊断、新一代同步选相开关。
通信作者: 杨秋玉
更新日期/Last Update: 2019-10-12