Proceedings of the 2016 International Conference on Education, Management and Computer Science

DC Bias Magnetic Vibration Monitoring Method and Device Based on the Amplitude of the Core Transformer

Authors
Haokai Xie
Corresponding Author
Haokai Xie
Available Online May 2016.
DOI
https://doi.org/10.2991/icemc-16.2016.87How to use a DOI?
Keywords
Transformer vibration; DC bias; Finite element method; Monitoring device
Abstract
In order to overcome the blindness of the installation of sensors in monitoring the vibration of the transformer, in this paper, a method for monitoring the DC bias of transformer based on the amplitude of the iron core is proposed. By establishing the circuit electromagnetic field force field model, a finite element analysis is used to obtain the vibration amplitude of the DC magnetic field at each position of the transformer core, then to collect the low frequency vibration of the core during the operation of the transformer. Analysis of the data and timely warning, can improve the accuracy of the vibration signal acquisition, to avoid the DC bias due to abnormal vibration of the transformer and accident tripping and other major accidents.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Education, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
May 2016
ISBN
978-94-6252-202-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/icemc-16.2016.87How 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  - Haokai Xie
PY  - 2016/05
DA  - 2016/05
TI  - DC Bias Magnetic Vibration Monitoring Method and Device Based on the Amplitude of the Core Transformer
BT  - Proceedings of the 2016 International Conference on Education, Management and Computer Science
PB  - Atlantis Press
SP  - 423
EP  - 428
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemc-16.2016.87
DO  - https://doi.org/10.2991/icemc-16.2016.87
ID  - Xie2016/05
ER  -