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Estimating transformer oil parameters using polynomial networks

  • American University of Sharjah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

Abstract

In this paper we use polynomial networks to model the relationship between the insulation resistance measured between distribution transformer high voltage winding, low voltage winding and the ground and the breakdown strength, interfacial tension and the water content of the transformer oil. Polynomial networks have the advantage of effectively capturing nonlinearities in the modeled data even when the dataset is relatively small. The proposed model has been applied to real data collected from thirty four distribution transformers. The modeling results showed that the proposed model can predict values of the interfacial tension of the transformer oil with an impressive accuracy of 93% while it can predict the breakdown down with an accuracy of 84%. On the other hand, the study showed that this technique can't be used to predict the transformer oil water content.

Original languageEnglish
Title of host publicationProceedings of 2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008
PublisherIEEE Computer Society
Pages1335-1338
Number of pages4
ISBN (Print)9781424416219
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008 - Beijing, China
Duration: 21 Apr 200824 Apr 2008

Publication series

NameProceedings of 2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008

Conference

Conference2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008
Country/TerritoryChina
CityBeijing
Period21/04/0824/04/08

Keywords

  • Megger test
  • Transformer insulation aging
  • Transformer oil

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