摘要
有载分接开关(on-load tap changer,OLTC)是电力变压器中故障频率较高的部件之一,为了实现有载分接开关的故障诊断,提出了一种基于重心平均动态时间规整算法的故障诊断方法。针对OLTC振动信号的非线性与强时变性,提出自适应变分模态分解算法,计算OLTC振动信号的时频特征矩阵。进一步地,引入重心平均动态时间规整算法,自适应地计算OLTC振动信号时频特征矩阵之间的差异度,从而实现OLTC的故障诊断。研究结果表明,利用重心平均动态时间规整算法能够通过计算多组信号的重心平均序列提高故障诊断的鲁棒性。同时,基于所计算的差异度,不仅能够实现OLTC故障的有效诊断,还能在一定程度上定量表征故障的严重程度。该研究能够为OLTC的故障诊断提供新的思路。
On-load tap changer(OLTC)is one of the most fragile parts in power transformer.In order to realize the fault diagnosis of OLTC,a fault diagnosis strategy based on the barycenter average dynamic-time warping algorithm is proposed in this paper.In accordance with the nonlinearity and strong time-varying of OLTC vibration signal,an adaptive variational mode decomposition algorithm is proposed to calculate the time-frequency characteristic matrix of OLTC vibration signal.Furthermore,the dynamic-time warping barycenter average algorithm is introduced to adaptively calculate the difference between the time-frequency characteristic matrix of OLTC vibration signals,so as to realize the fault diagnosis of OLTC.The results show that the dynamic-time warping barycenter average algorithm can improve the robustness of fault diagnosis by calculating the barycenter average sequence of multiple groups of signals.At the same time,based on the calculated difference,not only the diagnosis of OLTC faults can be realized,but also the severity of the fault can be quantitatively characterized.The research of this paper can provide new ideas for OLTC fault diagnosis.
作者
阳瑞霖
莫凡
金艳
罗周维
喻勇丽
何葵东
YANG Ruilin;MO Fan;JIN Yan;LUO Zhouwei;YU Yongli;HE Kuidong(Hydropower Industry Innovation Center of State Power Investment Corporation Limited,Changsha 410004,China;Wuling Power Technology Co.,Ltd.,Changsha 410004,China;Wuling Power Engineering Co.,Ltd.,Changsha 410004,China)
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2023年第4期1515-1525,共11页
High Voltage Engineering
关键词
重心平均动态时间规整
有载分接开关
振动信号
自适应变分模态分解
故障程度分析
时频特征
barycenter averaging dynamic time warping
on-load tap changer
vibration signal
adaptive variational mode decomposition
fault degree analysis
time-frequency characteristic
作者简介
阳瑞霖,1993-,男,硕士,工程师主要研究领域为设备故障诊断与信号分析,E-mail:286780988@qq.com;通信作者:何葵东,1985-,男,硕士,高工主要研究领域为设备智能故障诊断与继电保护,E-mail:279439551@qq.com。
