.png){kind=icon}
返回
Terahertz Imaging Method for Composite Insulator Defects Based on Edge Detection Algorithm
.png){kind=icon}
PRE
AI
DOI：10.1109/TIM.2021.3075031.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Composite insulator is prone to internal defects such as air gaps which seriously endanger the safety of power systems. To detect the internal defects in composite insulators, a terahertz (THz) imaging method based on edge detection algorithm was proposed in this article. First, air gap defect sample consisting of planar multilayers was imaged based on the envelope area of the THz reflection waveform. Then, Canny operator was applied to extract the edges of the defects. After that, the time interval of defect characteristic pulses was used to calculate the defect depth and then 3-D imaging of defects was, therefore, obtained. The experimental results showed that the imaging method based on envelope area was very effective in determining the edges of air gap defect and it had better performance compared with those using pulse amplitude or time interval as parameter for defect imaging. According to the results, the accuracy was quite satisfactory when the defect depth was above 0.339 mm. To verify the effectiveness of the proposed method, the developed THz imaging system was also applied to the rod of composite insulator. It was found that the relative error was smaller along the axial direction of the rod than the lateral direction.
Keyword:
Canny operator
composite insulator
defect detection
edge detection
terahertz (THz) imaging
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.9
论文数:
1.9W
被引数:
5.8W
机构
引用论文
An Optimized Infrared Detection Strategy for Defective Composite Insulators According to the Law of Heat Flux Propagation Considering the Environmental Factors.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏Mathematical Modeling of THz Point Spread Function and Simulation of THz Imaging SystemsTHz点扩散函数的数学建模及THz成像系统的仿真
PREAI
分享收藏
查看更多内容