基于分合闸线圈电流特征的高压断路器机械故障诊断
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摘要
为准确评估高压断路器操作机构的运行状态,提出一种基于三次样条插值和近似导数法的电流信号特征提取方法。该方法以电流曲线极值点对应的电流和时间参数为特征向量,首先用三次样条插值方法对曲线进行光滑处理,然后采用近似导数法取得可能的极值点,通过分组处理得到信号的特征向量。应用该方法对某断路器的运行状态进行检测,结果表明:该电流特征提取方法简单有效,可实现对高压断路器的故障评估与检测。
In order to evaluate the operating state of the operating mechanism of high voltage circuit breakers accurately, a current signal feature extraction method based on three spline interpolation and approximate slope method is proposed. The method used the current and time parameters corresponding to the extreme point of the current curve as the eigenvector. First, the three spline interpolation method is used to smooth the curve. Then the approximate derivative method is used to obtain the possible extreme value, and the eigenvectors of the signal are finally obtained by the packet processing. Finally, the operation state of a circuit breaker is detected by the proposed method. The experimental results show that the current feature extraction method is simple and effective, and can realize the fault assessment and detection of high voltage circuit breakers.
In order to evaluate the operating state of the operating mechanism of high voltage circuit breakers accurately, a current signal feature extraction method based on three spline interpolation and approximate slope method is proposed. The method used the current and time parameters corresponding to the extreme point of the current curve as the eigenvector. First, the three spline interpolation method is used to smooth the curve. Then the approximate derivative method is used to obtain the possible extreme value, and the eigenvectors of the signal are finally obtained by the packet processing. Finally, the operation state of a circuit breaker is detected by the proposed method. The experimental results show that the current feature extraction method is simple and effective, and can realize the fault assessment and detection of high voltage circuit breakers.
引文
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[14]张永奎,赵智忠,冯旭,等.基于分合闸线圈电流信号的高压断路器机械故障诊断[J].高压电器,2013,49(2):37-42.
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[16]DONG Y,XIAO D M.Application on circuit breaker vibration signal procession based on wavelet packet band energy analysis and bi-spectrum estimation[C]//International Conference on High Voltage Engineering and Application.Piscataway:IEEE,2008:653-656.
[2]林莘,王飞鸣,刘卫东,等.高压SF6断路器冷态介质恢复特性试验研究[J].中国电机工程学报,2016,36(14):3973-3981.
[3]POLYCARPOU A A,DEMJANENKO V,PORTER J W.Event timing and shape analysis of vibration bursts from power circuit breakers[J].IEEE Transactions on Power Delivery,1996,11(2):848-857.
[4]徐国政,张节容,钱家骊,等.高压断路器原理和应用[M].北京:清华大学出版社,2000.
[5]李鹏飞,周文俊,曾国,等.高压断路器合闸弹簧动态特性及储能状态检测方法[J].电工技术学报,2016,31(3):104-112.
[6]RUNDE M,OTTESEN G E,SKYBERG B.Vibration anal ysis for diagnostic testing of circuit-breakers[J].IEEETransactions on Power Delivery,1996,11(3):1816-1823.
[7]赵莉华,付荣荣,荣强,等.基于自适应神经模糊推理系统的高压断路器操作机构状态评估[J].高电压技术,2017,43(6):2007-2015.
[8]HUANG N T,CHEN H J,ZHANG S X,et al.Mechanical fault diagnosis of high voltage circuit breakers based on wavelet time-frequency entropy and one-class support vector machine[J].Entropy,2015,18(1):1-17.
[9]孙一航,武建文,廉世军,等.结合经验模态分解能量总量法的断路器振动信号特征向量提取[J].电工技术学报,2014,29(3):229-236.
[10]孙来军,胡晓光,纪延超.改进的小波包-特征熵在高压断路器故障诊断中的应用[J].中国电机工程学报,2007,27(12):103-108.
[11]安涛.VS1断路器在线监测与故障诊断系统的研究[D].杭州:浙江大学,2010.
[12]李斌.永磁机构真空断路器运动特性状态评估方法研究[D].沈阳:沈阳工业大学,2013.
[13]孙银山,张文涛,张一茗,等.高压断路器分合闸线圈电流信号特征提取与故障判别方法研究[J].高压电器,2015,51(9):134-139.
[14]张永奎,赵智忠,冯旭,等.基于分合闸线圈电流信号的高压断路器机械故障诊断[J].高压电器,2013,49(2):37-42.
[15]石辛民,郝整清.基于MATLAB的实用数值计算[M].北京:清华大学出版社,2006.
[16]DONG Y,XIAO D M.Application on circuit breaker vibration signal procession based on wavelet packet band energy analysis and bi-spectrum estimation[C]//International Conference on High Voltage Engineering and Application.Piscataway:IEEE,2008:653-656.