摘要
针对绝缘子状态检测技术的特点及其局限性,分析紫外成像技术的研究现状,确定以紫外光斑面积作为放电过程特征参量的可行性,利用3次傅里叶函数对500 kV绝缘子紫外图像数据加以拟合处理,表明劣化绝缘子的放电过程具有周期性闪烁特点。提出对放电过程连续视频图像特征量量化特性参数进行统计分析,将有助于提高紫外成像法在绝缘子劣化检测及其故障类型辨识中的应用。
In view of the characteristics and limitations of detection technology for insulator state, we analyzed the research situation of UV imaging technology and determined that the UV spot area as a characteristic parameter of discharge process is feasible. The UV image data of 500 kV insulator were fitted by Fourier function, and the results showed that the discharge process of the faulty insulator had the characteristics of periodic scintillation. The statistical analysis on characteristic parameters of discharge process continuous video image was pointed out, which would be helpful to improve the UV imaging method in the deterioration detection of insulator and identification of fault type.
出处
《绝缘材料》
CAS
北大核心
2014年第5期87-91,共5页
Insulating Materials
基金
国家自然科学基金项目(51377023)
福建高校产学合作科技重大项目(2011H6031)
关键词
紫外成像
绝缘子
放电过程
动态特性
视频图像
特征参数
UV imaging
insulator
discharge process
dynamic characteristics
video image
characteristic parameters