Analysis of Power Transformer's Lifetime Using Health Index Transformer Method Based on Artificial Neural Network Modeling

Himawan Nurcahyanto, Jannus Maurits Nainggolan, I. Made Ardita, Chairul Hudaya

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

1 Citation (Scopus)

Abstract

Transformers play a big role in the distribution of electrical energy. One of the factors that determines the reliability level of the transformer is the life of the transformer. If the transformer is used longer, the level reliability of its transformer will be decrease. The purpose of this research was to predict the life of a transformer based on the health index transformer calculation, then the value of health index transformer will be modeled by using artificial neural network. The results of this research were the values used as the parameters in transformer testing, which were insulating oil, furan, and dissolved gas. One of the advantages of artificial neural network methods in predicting the life of the transformer is a calculation error that can be minimized. From the result of this research, the transformer's life prediction system can be used directly to determine the lives of other transformers, both new and operating ones, with a low percentage of errors. Furthermore, this method can be used as an option in maintaining power transformers.

Original languageEnglish
Title of host publicationProceeding of 2019 International Conference on Electrical Engineering and Informatics, ICEEI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages574-579
Number of pages6
ISBN (Electronic)9781728124186
DOIs
Publication statusPublished - Jul 2019
Event7th International Conference on Electrical Engineering and Informatics, ICEEI 2019 - Bandung, Indonesia
Duration: 9 Jul 201910 Jul 2019

Publication series

NameProceedings of the International Conference on Electrical Engineering and Informatics
Volume2019-July
ISSN (Print)2155-6830

Conference

Conference7th International Conference on Electrical Engineering and Informatics, ICEEI 2019
CountryIndonesia
CityBandung
Period9/07/1910/07/19

Keywords

  • artificial neural network
  • health index transformer
  • lifetime prediction
  • power transformer

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