摘要
为提高MOA泄漏电流的测量精度以确保设备故障诊断的有效性和可靠性,采用数学形态学对具有较强干扰背景的MOA泄漏电流现场监测信号进行消噪处理,通过平滑MOA泄漏电流在线监测数据中的突变点,有效提取了真实信号,而且其运算相对简单,便于在单片机上实现,仿真和实例分析证明了该方法的有效性。
In order to improve the measurement accuracy of leakage current of metal oxide surge arrester to ensure the validity and reliability of fault diagnosis for equipment, this paper uses the mathematical morphology method to eliminate the interference in the leakage current of MOA under great disturbance background. With smoothing the singular points among the on-line monitoring data, the real signal can be gained effectively. Moreover, its calculation is simple and can be realized in the single-chip easily. Finally, analysis results of simulation and practical data have verified its validity.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2006年第4期44-46,共3页
High Voltage Engineering
基金
华北电力大学博士科研基金资助项目(No.93101504)
