摘要
如何实现对绝缘子表面电荷分布进行准确的测量,是高压绝缘领域一个重要的课题。针对这一问题,采用了一种基于数字图像处理的标度方法;在采用静电容探头法测量厚度一定的绝缘子表面电荷时可近似把整个测量系统按平移不平系统进行处理;通过作二维傅里叶变换,把传统的表面电荷测量标度过程转化到频域中完成。同时,为了提高标度的精度,结合数字图像处理中维纳滤波复原技术抑制测量中噪声项的影响。文中给出的算例表明,基于频域的标度方法可以大大地缩短标度计算耗时,并且在一定程度上改善了标度计算的精度。
In the field of high voltage engineering, it is an important subject to measure the surface charge distribution accurately on insulator surface. In this paper, an image processing technique with Wiener inverse filter is introduced to the charge distribution measurement. When an electrostatic probe is used to measure the surface charge on an insulating plate of constant thickness, the measuring system could be regarded as a shift-invariant system. Using 2-dimensional Fourier transformation, the calibration is carried out in the frequency domain. In order to suppress the influence of the noises on the measured signals, Wiener inverse filter is employed. The results show that the calibration time is saved much for this signal processing calibration technique, and the accuracy of calculation also can be improved.
出处
《电工技术学报》
EI
CSCD
北大核心
2009年第7期16-20,共5页
Transactions of China Electrotechnical Society
基金
国家自然科学基金资助项目(50607004)
关键词
绝缘子
电容探头
傅里叶变换
维纳滤波器
标度
Insulator, capacitance probe, Fourier transformation, Wiener filter, calibration
作者简介
印峰 男，1983年生，硕士研究生，研究方向为高电压与绝缘技术和数字图像处理、模式识别等。
汪沨 男，1972年生，博士，教授，目前研究领域为电力设备绝缘技术、气体放电理论及其应用技术等。
