Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

The Application Research on Ultrasonic Partial Discharge Detection for Transformer

Authors
Yanpeng Li, Tianzheng Wang, Jichong Liang, Zhumao Lu, Yongxin Liu, Dongdong Yang, Lu Bai, Liqiang Ma
Corresponding Author
Yanpeng Li
Available Online July 2016.
DOI
https://doi.org/10.2991/iccia-17.2017.27How to use a DOI?
Keywords
Transformer, Ultrasonic, Partial discharge (PD), PD source location
Abstract
As an effective discharged detection technology, the ultrasonic partial discharge detection can discover the potential defects of power equipment in operation, which has been applied in the fault diagnosis to the GIS, transformer, cable connector and the high voltage switchgear, etc. But in the practical application, due to the problems such as interference exclusion, signal identification and positioning, it is difficult to the property and location of defect to make accurate judgments. In this paper, based on ultrasonic discharge test case for transformer with defects, the ultrasonic discharge diagnosis method of transformer defect are analyzed and summarized, and the characteristics of the transformer ultrasonic partial discharge is proposed.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-17.2017.27How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yanpeng Li
AU  - Tianzheng Wang
AU  - Jichong Liang
AU  - Zhumao Lu
AU  - Yongxin Liu
AU  - Dongdong Yang
AU  - Lu Bai
AU  - Liqiang Ma
PY  - 2016/07
DA  - 2016/07
TI  - The Application Research on Ultrasonic Partial Discharge Detection for Transformer
BT  - 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 169
EP  - 173
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.27
DO  - https://doi.org/10.2991/iccia-17.2017.27
ID  - Li2016/07
ER  -