Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)

Application Analysis of Ultrasonic Technology in Insulator Contamination Discharge Detection

Authors
Dantian Zhong, Fang Yuan, Jianchun Yao, Jiayu Pan
Corresponding Author
Dantian Zhong
Available Online May 2019.
DOI
10.2991/cnci-19.2019.20How to use a DOI?
Keywords
Insulator detection, power system, ultrasonic technology, discharge detection.
Abstract

Line insulator detection is a very important part of the power system. At present, the commonly used detection methods at home and abroad have certain defects. By referring to the application of ultrasonic technology in the United States and South Korea, this paper proposes a method of applying ultrasonic technology to line insulator detection. Through the acquisition, processing, analysis and amplification of ultrasonic signals, the fault detection of insulators is realized.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
Series
Advances in Computer Science Research
Publication Date
May 2019
ISBN
10.2991/cnci-19.2019.20
ISSN
2352-538X
DOI
10.2991/cnci-19.2019.20How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dantian Zhong
AU  - Fang Yuan
AU  - Jianchun Yao
AU  - Jiayu Pan
PY  - 2019/05
DA  - 2019/05
TI  - Application Analysis of Ultrasonic Technology in Insulator Contamination Discharge Detection
BT  - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
PB  - Atlantis Press
SP  - 144
EP  - 148
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnci-19.2019.20
DO  - 10.2991/cnci-19.2019.20
ID  - Zhong2019/05
ER  -