Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer

Analysis And Prediction Of Fundamental Amplitude Of The Running Transformer

Authors
Zhan Zhao
Corresponding Author
Zhan Zhao
Available Online June 2016.
DOI
10.2991/mmebc-16.2016.87How to use a DOI?
Keywords
Condition monitoring, vibration analysis, in-service grid transformer.
Abstract

In this paper, a new model developed to estimate transformer vibration is presented. The model contains three parameters-current, voltage and temperature, which can be easily measured. Also, the vibration theory for transformers was analyzed, a six-channel vibration measurement system is set up and the vibration signals are measured. The least-squares method was used to calculate the model parameters which are used as print parameters to predict the vibration amplitude. The model has been tested experimentally on a running transformer fitted with sensors. Comparing with other two predicting model, we find the new model is more accurate. The new model also needs more data from running transformers to improve it.

Copyright
© 2016, 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 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-210-7
ISSN
2352-5401
DOI
10.2991/mmebc-16.2016.87How to use a DOI?
Copyright
© 2016, 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  - Zhan Zhao
PY  - 2016/06
DA  - 2016/06
TI  - Analysis And Prediction Of Fundamental Amplitude Of The Running Transformer
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 413
EP  - 416
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.87
DO  - 10.2991/mmebc-16.2016.87
ID  - Zhao2016/06
ER  -