Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)

Design and Experiment Study of Transformer Fault Monitoring System Based on acoustic characteristics

Authors
Kai Deng
Corresponding Author
Kai Deng
Available Online August 2015.
DOI
10.2991/icmeis-15.2015.169How to use a DOI?
Keywords
Transformer; fault monitoring; acoustic signal; system design.
Abstract

Transformers in operation is accompanied by certain acoustic signals, and the acoustic signals can reflect the running state of the transformer to a great extent. In view of the characteristics of transformer fault and the principle of acoustic signals generation, a transformer fault monitoring device based on acoustic characteristics is developed. The results of laboratory test and substation field test shows that the device can monitor and analysis the acoustic signals of transformers in operation in real time, evaluate the health of transformers, and has certain value of the field application.

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 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)
Series
Advances in Engineering Research
Publication Date
August 2015
ISBN
978-94-62520-98-1
ISSN
2352-5401
DOI
10.2991/icmeis-15.2015.169How 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  - Kai Deng
PY  - 2015/08
DA  - 2015/08
TI  - Design and Experiment Study of Transformer Fault Monitoring System Based on acoustic characteristics
BT  - Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)
PB  - Atlantis Press
SP  - 895
EP  - 899
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeis-15.2015.169
DO  - 10.2991/icmeis-15.2015.169
ID  - Deng2015/08
ER  -