Proceedings of the 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018)

Key Technology for On-line Detection of Partial Discharge in High Voltage Switchgear

Authors
Jianqiao Pan, Di Wu, Chaohui Jin, Yinbing Luan, Liang Xu
Corresponding Author
Jianqiao Pan
Available Online September 2018.
DOI
10.2991/wartia-18.2018.68How to use a DOI?
Keywords
High voltage switchgear, partial discharge, online detection, key technology
Abstract

The article focuses on the partial discharge phenomenon of high-voltage switchgear. On the basis of grasping the significance of online detection, the paper analyzes the type of partial discharge of high-voltage switchgear and the specific detection methods. Based on the data obtained from the research, the planning and construction of the overall structure of the online detection system and the implementation path are repositioned. From a certain point of view, the stability and reliability of the online detection system plays an important role in promoting the improvement and optimization of the entire power grid structure.

Copyright
© 2018, 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 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018)
Series
Advances in Engineering Research
Publication Date
September 2018
ISBN
10.2991/wartia-18.2018.68
ISSN
2352-5401
DOI
10.2991/wartia-18.2018.68How to use a DOI?
Copyright
© 2018, 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  - Jianqiao Pan
AU  - Di Wu
AU  - Chaohui Jin
AU  - Yinbing Luan
AU  - Liang Xu
PY  - 2018/09
DA  - 2018/09
TI  - Key Technology for On-line Detection of Partial Discharge in High Voltage Switchgear
BT  - Proceedings of the 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018)
PB  - Atlantis Press
SP  - 370
EP  - 375
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-18.2018.68
DO  - 10.2991/wartia-18.2018.68
ID  - Pan2018/09
ER  -