Researches on Position Detection for Vacuum Switch Electrode

2017 International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Dong, Huajun^1,2 ; Guo, Yingjie^1,2 ; Li, Jie^1 ; Kong, Yihan^1

School of Mechanical Engineering, Dalian Jiaotong University, Dalian, China^1

State Grid Tianjin Pinggao Intelligent Electric Co. Ltd., Tianjin, China^2

关键词: Digital image processing technologies;    Dynamic separation;    Effecting factors;    Fitting results;    Linear fitting;    Position detection;    Position of electrodes;    Vacuum switch;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/322/7/072042/pdf
DOI  :  10.1088/1757-899X/322/7/072042

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Form and transformation character of vacuum arc is important influencing factor on the vacuum switch performance, and the dynamic separations of electrode is the chief effecting factor on the transformation of vacuum arcs forms. Consequently, how to detect the position of electrode to calculate the separations in the arcs image is of great significance. However, gray level distribution of vacuum arcs image isn't even, the gray level of burning arcs is high, but the gray level of electrode is low, meanwhile, the forms of vacuum arcs changes sharply, the problems above restrict electrode position detection precisely. In this paper, algorithm of detecting electrode position base on vacuum arcs image was proposed. The digital image processing technology was used in vacuum switch arcs image analysis, the upper edge and lower edge were detected respectively, then linear fitting was done using the result of edge detection, the fitting result was the position of electrode, thus, accurate position detection of electrode was realized. From the experimental results, we can see that: algorithm described in this paper detected upper and lower edge of arcs successfully and the position of electrode was obtained through calculation.