Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)

Comprehensive Detection Technology In The Application Of Transformer Insulation Diagnosis

Authors
Hua Yu, Ju-zhen Wu, Jing-jin Cao, Yan-song Li, Guo-dong Li, Zhang Na
Corresponding Author
Hua Yu
Available Online October 2017.
DOI
10.2991/jimec-17.2017.76How to use a DOI?
Keywords
comprehensive detection technology; transformer; outlet device; insulation aging
Abstract

The internal defects of transformer can be detected by dissolved gas in transformer oil. In this paper, we firstly have the routine test such as DC resistance of transformer, dielectric loss, and so on. Then we do the transformer induction withstand voltage experiment, partial discharge test and make ultrasonic positioning on the discharge single. Finally, we do strip inspection on the transformer and found aging serious problems of outlet device. Through the comprehensive utilization of chemical,materials, electrical test, the accuracy of fault diagnosis of transformer insulation materials and speediness is largely improved.

Copyright
© 2017, 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 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
Series
Advances in Computer Science Research
Publication Date
October 2017
ISBN
978-94-6252-366-1
ISSN
2352-538X
DOI
10.2991/jimec-17.2017.76How to use a DOI?
Copyright
© 2017, 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  - Hua Yu
AU  - Ju-zhen Wu
AU  - Jing-jin Cao
AU  - Yan-song Li
AU  - Guo-dong Li
AU  - Zhang Na
PY  - 2017/10
DA  - 2017/10
TI  - Comprehensive Detection Technology In The Application Of Transformer Insulation Diagnosis
BT  - Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
PB  - Atlantis Press
SP  - 346
EP  - 349
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimec-17.2017.76
DO  - 10.2991/jimec-17.2017.76
ID  - Yu2017/10
ER  -