CAJ | 학술논문

目前针对电子互感器故障诊断算法大多以互感器采样数据分析为基础[1]，而互感器采样数据与电网运行数据是紧密联系的，导致其算法无法区分电网故障与互感器故障。本文使用的故障诊断算法基于小波变换，使用多尺度模块综合处理的方法获取信号奇异点及其奇异时刻，然后采用小波奇异熵算法，利用电网各种异常状况下电气量信号与电子式互感器故障时电气量信号的区别来检测互感器的突变故障。结合这两种算法可以实时判断电子式互感器的运行状况。
목전침대전자호감기고장진단산법대다이호감기채양수거분석위기출[1]，이호감기채양수거여전망운행수거시긴밀련계적，도치기산법무법구분전망고장여호감기고장。본문사용적고장진단산법기우소파변환，사용다척도모괴종합처리적방법획취신호기이점급기기이시각，연후채용소파기이적산법，이용전망각충이상상황하전기량신호여전자식호감기고장시전기량신호적구별래검측호감기적돌변고장。결합저량충산법가이실시판단전자식호감기적운행상황。
At present, the fault diagnosis algorithm of electronic instrument transformer is mainly on the basic of transformer sampling data analysis. The transformer sampling data is closely related to power grid operation data. So, this algorithm cannot distinguish the grid fault and transformer fault. The fault diagnosis algorithm used in this paper is on the basic of wavelet transform. The multi-scale module integrated processing method is used to get the signal singularity and its singular moment. Then the wavelet singular entropy algorithm is used and the difference between the electricity signal in all kinds of abnormal condition and the electricity signal of the fault of electronic instrument transformer fault is utilized to detect mutations of transformer fault. The combination of the two algorithms can real-timely judge the operation condition of the electronic instrument transformer.