Review of Defect Detection Technology of Power Equipment Based on Video Images

QI Donglian; HAN Yifeng; ZHOU Ziqiang; YAN Yunfeng

doi:10.11999/JEIT211588

Volume 44 Issue 11

Nov. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(11): 3709-3720

QI Donglian, HAN Yifeng, ZHOU Ziqiang, YAN Yunfeng. Review of Defect Detection Technology of Power Equipment Based on Video Images[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3709-3720. doi: 10.11999/JEIT211588

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QI Donglian, HAN Yifeng, ZHOU Ziqiang, YAN Yunfeng. Review of Defect Detection Technology of Power Equipment Based on Video Images[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3709-3720. doi: 10.11999/JEIT211588

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Review of Defect Detection Technology of Power Equipment Based on Video Images

doi: 10.11999/JEIT211588

QI Donglian^{1, 2},
HAN Yifeng^{1
,
,},
ZHOU Ziqiang^{1, 3},
YAN Yunfeng¹

1.
The College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
2.
Hainan Institute of Zhejiang University, Sanya 572024, China
3.
Zhejiang Hua Yun Clean Energy Co., Ltd, Hangzhou 310014, China

Funds: Science and Technology Project of State Grid Corporation of China(5200-201919048A-0-0-00)

Received Date: 2021-12-29
Accepted Date: 2022-06-08
Rev Recd Date: 2022-05-12

Available Online: 2022-06-10

Publish Date: 2022-11-14

Abstract

Abstract

The defect detection technology of power equipment based on video image is one of the key technologies to realize intelligent operation and maintenance. It can solve the problems of intelligent identification of external defects in automatic fault diagnosis, active warning and online maintenance of power equipment. Moreover, it is able to reduce the waste of human resources and greatly improve the reliability of system operation and maintenance, thus making up for the shortcomings of traditional protection maintenance mode and providing technical support for the stable operation of power grid. This paper summarizes current typical defect detection algorithms and image processing technology of transmission and transformation equipment based on video images. Additionally, it analyzes the advantages and disadvantages of traditional image processing methods and deep learning methods in the field of power equipment defect detection. Finally, current algorithm development platforms are summarized, and the future development is predicted.
- Transmission and transformation equipment,
- Defect detection,
- Video image,
- Image processing

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References(70)

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