Multi-variable approach for evaluating transformer paper insulation

Cui, Yi, Martin, Daniel, Saha, Tapan, Ma, Hui, Ekanayake, Chandima and Lelekakis, Nick (2015). Multi-variable approach for evaluating transformer paper insulation. In: 2015 IEEE 11th International Conference on the Properties and Applications of Dielectric Materials (ICPADM). International Conference on the Properties and Applications of Dielectric Materials (ICPADM), Sydney, NSW, Australia, (320-323). 19-22 July 2015. doi:10.1109/ICPADM.2015.7295273


Author Cui, Yi
Martin, Daniel
Saha, Tapan
Ma, Hui
Ekanayake, Chandima
Lelekakis, Nick
Title of paper Multi-variable approach for evaluating transformer paper insulation
Conference name International Conference on the Properties and Applications of Dielectric Materials (ICPADM)
Conference location Sydney, NSW, Australia
Conference dates 19-22 July 2015
Convener IEEE
Proceedings title 2015 IEEE 11th International Conference on the Properties and Applications of Dielectric Materials (ICPADM)
Journal name Proceedings of the IEEE International Conference on Properties and Applications of Dielectric Materials
Place of Publication Piscataway, NJ, United States
Publisher IEEE (Institute for Electrical and Electronic Engineers)
Publication Year 2015
Sub-type Fully published paper
DOI 10.1109/ICPADM.2015.7295273
ISBN 9781479989034
ISSN 2160-9241
Volume 2015-October
Start page 320
End page 323
Total pages 4
Collection year 2016
Language eng
Abstract/Summary 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.
Keyword Statistical
Dissolved gas analysis
Degree of polymerization (DP)
Oil-paper insulation
Reliability
Transformer
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

 
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Created: Fri, 07 Aug 2015, 03:49:34 EST by Yi Cui on behalf of School of Information Technol and Elec Engineering