Monitoring Power Transformer Using Fuzzy Logic

Authors

  • Ikbal Abulmageed Hameed Applied Sciences Department, University of Technology,Baghdad, Iraq Author
  • Saher Rady Farag Electromechanical Engineering Department, University of Technology, Baghdad, Iraq Author

Keywords:

Power transformer, Dissolved Gas, Fuzzy logic, Roger, IEC-599

Abstract

In this work fuzzy logic is applied to Roger’s IEC-599; as it is the most popular method, which dissolved gases in the insulating oil are analyses through gas chromatography and ratios (Rl=CH4/H2, R2=C2H2/C2H4, R3 =C2H2/CH4, R4=C2H6/ C2H2, and R5=C2H4/C2H6) are calculated for the purpose of detecting of two different kinds of incipient faults: electrical and -thermal faults, whereby each type of failure can be subdivided into different categories , So in this work construct an expert system that measures the level of dissolved gases and suggests weather the power transformer is normal or faulty, and if it was faulty what might be responsible for the accumulation of these gases. The system developed show that the obtained results are satisfactory.

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Key Dates

Published

2013-12-01

Issue

Vol. 17 No. 6 (2013): Journal of Engineering and Development

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The Journal of Engineering and Sustainable Development is an open-access journal that all contents are free of charge. Articles of this journal are licensed under the terms of the Creative Commons Attribution International Public License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/legalcode) that licensees are unrestrictly allowed to search, download, share, distribute, print, or link to the full texts of the articles, crawl them for indexing and reproduce any medium of the articles provided that they give the author(s) proper credits (citation). The journal allows the author(s) to retain the copyright of their published article.
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How to Cite

Monitoring Power Transformer Using Fuzzy Logic. (2013). Journal of Engineering and Sustainable Development, 17(6), 146-163. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1034

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