Home Journals Articles Updates About
CN
image
收藏切换
Research on basin insulator defect detection based on laser ultrasonic peak reconstruction algorithm
收藏切换
PDF
Wei WANG1, Hong LIU1, Like DONG1, Yudong XU1, Haifei WU2, 3, Hui XIA2, 3, Zhonghua SHEN4
Insulating Materials | 2023, 56(1) : 96 - 101
Less
收藏切换
Insulating Materials | 2023, 56(1): 96-101
• Test and Analysis •
Research on basin insulator defect detection based on laser ultrasonic peak reconstruction algorithm
Full
Wei WANG1, Hong LIU1, Like DONG1, Yudong XU1, Haifei WU2, 3, Hui XIA2, 3, Zhonghua SHEN4
Affiliations
  • 1State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China
  • 2School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100190, China
  • 3Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
  • 4School of Science, Nanjing University of Science and Technology, Nanjing 210094, China
Published: 2023-01-20 doi: 10.16790/j.cnki.1009-9239.im.2023.01.015
Outline
收藏切换

On the basis of laser ultrasonic technology, a peak reconstruction algorithm of surface wave was studied, and an experimental platform of two-dimensional laser excitation scanning laser ultrasonic detection for basin insulators was built. Then the artificial bubble, impurity, and crack defects were detected and studied, and the basin insulator with crack fault in practical field application was carried out off-line detection. The results show that the reconstructed peak image based on laser ultrasonic peak reconstruction algorithm can better reflect the defect information of basin insulator in scanning interval, which proves that this method can realize the off-line detection of surface crack defect on the basin insulator.

basin insulator  /  laser ultrasonic  /  peak reconstruction algorithm  /  nondestructive testing
Wei WANG, Hong LIU, Like DONG, Yudong XU, Haifei WU, Hui XIA, Zhonghua SHEN. Research on basin insulator defect detection based on laser ultrasonic peak reconstruction algorithm[J]. Insulating Materials, 2023 , 56 (1) : 96 -101 . DOI: 10.16790/j.cnki.1009-9239.im.2023.01.015
Appendix
Less
Year 2023 volume 56 Issue 1
PDF
111
51
Cite this Article
BibTeX
Article Info
doi: 10.16790/j.cnki.1009-9239.im.2023.01.015
  • Receive Date：2022-01-06
  • Online Date：2025-11-21
  • Published：2023-01-20
Article Data
Affiliations
History
  • Received：2022-01-06
  • Revised：2022-03-07
Funding
Affiliations
    1State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China
    2School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100190, China
    3Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
    4School of Science, Nanjing University of Science and Technology, Nanjing 210094, China
References
Share
https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2023.01.015
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House