Multi-variable Approach for Evaluating Transformer Paper Insulation
Paper
Paper/Presentation Title | Multi-variable Approach for Evaluating Transformer Paper Insulation |
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Presentation Type | Paper |
Authors | Cui, Yi (Author), Martin, Daniel (Author), Saha, Tapan (Author), Ma, Hui (Author), Ekanayake, Chandima (Author) and Lelekakis, Nick (Author) |
Journal or Proceedings Title | Proceedings of the 11th International Conference on the Properties and Applications of Dielectric Materials (ICPADM 2015) |
ERA Conference ID | 72396 |
Number of Pages | 4 |
Year | 2015 |
Place of Publication | Sydney, Australia |
ISBN | 9781479989034 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICPADM.2015.7295273 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/7295273 |
Conference/Event | 11th International Conference on the Properties and Applications of Dielectric Materials (ICPADM 2015) |
IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM) | |
Event Details | 11th International Conference on the Properties and Applications of Dielectric Materials (ICPADM 2015) Event Date 19 to end of 22 Jul 2015 Event Location Sydney, Australia |
Event Details | IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM) ICPADM |
Abstract | In this paper, a statistical approach for evaluating the transformer's paper insulation is proposed. The proposed approach adopts multi-variable analysis to investigate the correlations between the degree of polymerization (DP) of paper insulation and increase rates of different dissolved gases in oil. Moisture in paper, oxygen and temperature are important factors influencing paper insulation degradation and included in the investigation. The reliabilities of utilizing different dissolved gases in the evaluation of DP value of an oil-pressboard insulation system are examined. The significance test of dissolved gases is also performed to find the most influential gases in the estimation of DP value. Moreover, the mutual correlation between different dissolved gases is taken into account to improve the reliability of DP estimation. Extensive accelerated ageing experiments on model oil-pressboard insulation systems are conducted and the measurement results are used to validate the proposed approach. |
Keywords | degree of polymerization (DP); dissolved gas analysis; oil-paper insulation; reliability; Statistical; transformer |
ANZSRC Field of Research 2020 | 400803. Electrical energy generation (incl. renewables, excl. photovoltaics) |
460308. Pattern recognition | |
Public Notes | There are no files associated with this item. |
Byline Affiliations | University of Queensland |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7w45/multi-variable-approach-for-evaluating-transformer-paper-insulation
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