Transformer insulation aging assessment and life prediction based on a variety characteristics

DOI

10.2991/icmia-16.2016.118How to use a DOI?

Keywords

transformer;life prediction;insulation aging assessment;variety characteristics

Abstract

In order to make the transformer insulation aging assessment and life prediction more reasonable, we established transformer evaluation model based on the operating load, environmental factors, the electrical characteristics of the experiment and oil chromatographic characteristics. Then we applied the evaluation model to the engineering practice and the prediction result is satisfactory.

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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TY  - CONF
AU  - Xun Wan
AU  - Kunyu Tan
AU  - Yun Liu
AU  - Huisheng Ye
AU  - Shihua Zhao
AU  - Ping Peng
AU  - Minfang Peng
PY  - 2016/11
DA  - 2016/11
TI  - Transformer insulation aging assessment and life prediction based on a variety characteristics
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.118
DO  - 10.2991/icmia-16.2016.118
ID  - Wan2016/11
ER  -