Proceedings of the 2nd International Conference on Intelligent Computing and Cognitive Informatics

Research on Transformer Winding Fault Detection Method Based on the Voltage and Current Characteristics of LISSAJOUS

Authors
Hui Xu, Guanchen Lu, Zhangqi Wang, Hong Yu, Guochao Qian, Zhongxi Lu
Corresponding Author
Hui Xu
Available Online September 2015.
DOI
10.2991/icicci-15.2015.41How to use a DOI?
Keywords
Keywords-transformer; transformer winding; interpolation; Lissajous
Abstract

Abstract—Transformer power system is one of the most important electrical equipment, winding transformer failure is an important cause of damage and threaten the safe operation of the power grid. Through theoretical analysis, we propose a Lissajous analysis of transformer voltage / current characteristic analysis method to detect winding faults, while the design of the experimental method, by specific experiments further confirmed Lissajous characteristic analysis method based on effectiveness of transformer winding faults provides a new detection method.

Copyright
© 2015, 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 2nd International Conference on Intelligent Computing and Cognitive Informatics
Series
Advances in Intelligent Systems Research
Publication Date
September 2015
ISBN
10.2991/icicci-15.2015.41
ISSN
1951-6851
DOI
10.2991/icicci-15.2015.41How to use a DOI?
Copyright
© 2015, 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  - Hui Xu
AU  - Guanchen Lu
AU  - Zhangqi Wang
AU  - Hong Yu
AU  - Guochao Qian
AU  - Zhongxi Lu
PY  - 2015/09
DA  - 2015/09
TI  - Research on Transformer Winding Fault Detection Method Based on the Voltage and Current Characteristics of LISSAJOUS
BT  - Proceedings of the 2nd International Conference on Intelligent Computing and Cognitive Informatics
PB  - Atlantis Press
SP  - 187
EP  - 190
SN  - 1951-6851
UR  - https://doi.org/10.2991/icicci-15.2015.41
DO  - 10.2991/icicci-15.2015.41
ID  - Xu2015/09
ER  -