scholarly journals Research on latent defect detection technology of high voltage cable

2021 ◽  
Vol 2113 (1) ◽  
pp. 012051
Author(s):  
Sanwei Liu ◽  
Chao Qiu ◽  
Yi Xie ◽  
Jianjia Duan ◽  
Fuyong Huang ◽  
...  

Abstract As a component of the Internet of things, high-voltage cables are the power supply infrastructure for the modern development of cities. The operation experience shows that the high-voltage cable has been broken down many times, due to the defective operation. At present, due to the limitation of detection technology, the research on detection and identification of defects in high-voltage cables is progressing slowly. Therefore, a new DR technology based on X-ray digital imaging is proposed in this paper to realize real-time detection of defects in the semi-conductive buffer layer of high-voltage cables, and intelligent detection of DR images of high-voltage cables by using image depth processing technology to realize intelligent identification of defects in the buffer layer of power cables. The results show that using the new DR technique proposed in this paper, the accurate and intuitive DR image of high-voltage cable can be obtained quickly, and the intelligent identification of defects can be realized.

2020 ◽  
Vol 185 ◽  
pp. 01057
Author(s):  
Sanwei Liu ◽  
Jun Zhang ◽  
Yi Xie ◽  
Jianjia Duan ◽  
Fuyong Huang ◽  
...  

As a component of the Internet of things, high-voltage cables are the power supply infrastructure for the modern development of cities. The operation experience shows that the high-voltage cable has been broken down many times due to the defective operation. At present, due to the limitation of detection technology, the research on detection and identification of defects in high-voltage cables is progressing slowly. Therefore, a new DR technology based on X-ray digital imaging is proposed in this paper to realize real-time detection of defects in the semi-conductive buffer layer of high-voltage cables, and intelligent detection of DR images of high-voltage cables by using image depth processing technology to realize intelligent identification of defects in the buffer layer of power cables. The results show that using the new DR technique proposed in this paper, the accurate and intuitive DR image of high-voltage cable can be obtained quickly, and the intelligent identification of defects can be realized.


2021 ◽  
Vol 1792 (1) ◽  
pp. 012046
Author(s):  
Zhang Jun ◽  
Huang Fuyong ◽  
Liu Sanwei ◽  
Zeng Zeyu ◽  
Feng Chao ◽  
...  

2021 ◽  
Vol 233 ◽  
pp. 01032
Author(s):  
Zhang Jun ◽  
Duan Xiaoli ◽  
Xie Yi ◽  
Duan Jianjia ◽  
Huang Fuyong ◽  
...  

A semantic segmentation method based on the fully convolutional network is proposed to detect the buffer layer defect in high voltage cable automatically. One hundred seventy-seven high-resolution X-ray images of cables are collected. FCN-8s and VGG16 backbone are adopted. The results indicated that the FCN-8s achieves the mIoU to 0.67 on the test set, proving to be an efficient way to detect the buffer layer defects.


Author(s):  
Yonggang Yue ◽  
Feng Huo ◽  
Yongqiang Fan ◽  
Yongpeng Zhang ◽  
Tianyu Lin ◽  
...  

2021 ◽  
Vol 122 ◽  
pp. 105263
Author(s):  
Yun Chen ◽  
Baojun Hui ◽  
Yanting Cheng ◽  
Yanwen Chen ◽  
Yanpeng Hao ◽  
...  
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