Transformer insulation aging assessment and life prediction based on a variety characteristics
Authors
Xun Wan, Kunyu Tan, Yun Liu, Huisheng Ye, Shihua Zhao, Ping Peng, Minfang Peng
Corresponding Author
Xun Wan
Available Online November 2016.
- 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/).
Cite this article
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 -