中文摘要：

针对传统电晕检测方法存在难以准确定位放电位置且在现场应用易受干扰等问题．笔者采用数字图像处理算法提取了电晕放电紫外图像的光斑面积，并将其作为量化放电强度的参数．在实验室利用棒一板间隙研究了极不均匀电场中的电晕放电的紫外成像特征，分析了正、负电晕放电时的最大脉冲幅值、累积放电量参数与光斑的面积之间的关系，并对上述关系进行了讨论。研究表明，对于负半周的放电．脉冲峰值与光斑面积存在明显的非线性关系，但半周内的累积放电量与光斑面积有着近似的线性关系：对于正半周的放电．光斑面积与电脉冲的最大值和半周内的放电量都有着近似的线性关系．因而采用紫外成像法的紫外光斑面积的大小可以用于评估放电的发展阶段和趋势．并对放电的脉冲峰值以及放电量进行近似的量化分析。

英文摘要：

The conventional corona detection method cannot accurately locate discharge position and is sensitive to field interference.In this study, the corona discharge faeula areas in UV images were extracted with digital image processing algorithm and used as a parameter to quantify the corona discharge intensity. In laboratory, the UV imaging characteristics of corona discharge in severely non-uniform electric field were studied with a rod-plane gap model, and the relationship between the facula area and the maximum discharge capacity or the cumulative discharge parameters in positive and negative half cycles was analyzed and discussed. The results show that for the discharge in negative half cycle, the maximum current pulse exhibits a nonlinear relationship with the facula area, but the cumulative discharge exhibits an approximately linear relationship with the facula area. For the discharge in positive half cycle, both two current pulse parameters exhibit approximately linear relationship with the facula area. So the corona facula area can be used to assess the discharge development stage and tendency, and to approximately quantify the peak value of current pulse and the discharge quantity.