摘要
基于油纸绝缘气隙放电模型,采用恒压法在实验室对其进行局部放电发展特性实验。论文研究了放电发展过程中放电能量的变化规律,并引入放电重复率n提出了每秒平均放电能量Wasec这一新特征量,很好地描述了气隙放电的发展过程。借鉴PRPD谱图构建思想,引入放电发生的工频相位φ,构造基于放电能量的φ-w-n三维统计图谱,进而得到基于放电能量-相位(w-φ)的局部放电二维灰度图像。鉴于传统矩特征参量的不足,将小波理论引入局部放电灰度图像矩特征的提取过程中,提取了放电产生、发展到最终击穿共62组样本点,得到不同尺度因子和位移因子参数下的小波矩特征值。根据提取到的不同放电时刻的小波矩特征值,在无先验知识的条件下采用模糊C-均值聚类的方法将整个放电过程划分为放电产生和震荡发展阶段、微弱放电阶段、放电爆发阶段以及放电预击穿阶段。
Based on the air-gap discharge model in oil-paper insulation, the experiments on the developing characteristics of partial discharge were performed using constant voltage method in laboratory. In this paper,the variation of discharge en- ergy in discharge development process is studied. At the same time ,the discharge repetition ratio n is introduced, and the average discharge energy per second Wasec is proposed as a new feature quantity. The analysis shows that Wasec can be used to describe the development characteristics of partial discharge very well. On the basis of constructing the PRPD spec- trum ,the line frequency phase （φ）occurred in discharge is introduced ,and a three-dimensional statistical spectrum,φ- w-n based on discharge energy is constructed. The partial discharge two-dimensional gray scale images based on discharge en- ergy and phase,w-φ are obtained. As traditional moment parameter has its shortages,the wavelet theory was introduced into the moment characteristic parameter extracting process of partial discharge gray scale images ;62 group sample points for start discharge, developing and breakdown ,and the wavelet moment features for different scale parameters and transla- tion parameters were obtained from the gray scale images. According to the wavelet moment features extracted at different discharge times ,under the condition of no prior knowledge ,the fuzzy C-means clustering method is used to divide the whole air-gap discharge process into four stages, namely, the start discharge and shock developing stage, the weak discharge stage,the outbreak discharge stage and the discharge pre-breakdown stage.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2013年第5期1062-1069,共8页
Chinese Journal of Scientific Instrument
基金
国家创新研究群体基金项目(51021005)
国家重点基础研究发展计划项目(973项目)(2009CB724506)资助
关键词
能量-小波矩特征
特征分析
气隙放电
过程划分
energy-wavelet moment feature
feature analysis
air-gap discharge
process partition
