| Title |
A Study on the Prediction of Residual Life of Transformer through Self Diagnosis and Asset Management |
| Authors |
이현우(Hyun-Woo Lee) ; 장경배(Kyung-Bae Jang) |
| DOI |
https://doi.org/10.5370/KIEE.2020.69.5.738 |
| Keywords |
Residual life prediction; Health index; Self-Diagnosis; Transformer; Safety management |
| Abstract |
This paper presents a residual life prediction method that combines a self - diagnostic evaluation of a transformer with An Approach to Power Transformer Asset Management Using Health Index. The asset management method analyzes the health of the transformer through a variety of precise diagnoses and predicts the remaining service life. The self-diagnostic evaluation analyzes the soundness of the electrical equipment and proposes precise diagnosis and emergency repair. By combining the self-diagnostic evaluations with the asset management, more accurate soundness analysis and residual life prediction can be achieved than before. Also, by changing evaluation score of the self-diagnostic, confirm that the causality between health and the life of the transformer. |