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Improvement of interpretation of dissolved gas analysis for power transformers.

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Warianty tytułu
Konferencja
APTADM 2007, III International Conference on Advances in Processing Testing and Application of Dielectric Materials., September, 26-28, 2007 Wrocław, Poland
Języki publikacji
EN
Abstrakty
EN
Assessment of power transformer conditions and lifespan has acquired crucial significance in latest years. Dissolved Gas Analysis (DGA) has proved to be useful for diagnostic of incipient and potential faults in power transformers. The first part of this paper deals with an experimental investigation carried out to study relation between gas generation and partial discharge. In the second part, a fuzzy logic based interpretation method (FL1), which is founded on fuzzy set theory is described and implemented as an improved DGA interpretation method that provides higher reliability and precision of fault diagnostics.
Twórcy
autor
autor
  • Institute of Power Transmission and High Voltage Technology, Pfaffenwaldring 47, 70569 Stuttgart, Germany
Bibliografia
  • [1] Sanghi R., Chemistry behind the life of a transformer, Resonance Magazine, June 2003.
  • [2] Gradnik K.M., Physical-Chemical Oil Tests, Monitoring and Diagnostic of Oil-filled Transformers, Proceedings of 14lh International Conference on Dielectric Liquids, Austria, July 2002.
  • [3] Duval M., Dissolved Gas Analysis: It can save your transformer, IEEE Electrical Insulation Magazine, Vol. 5, No. 6, Nov.-Dec. 1989.
  • [4] Möllmann A. and Pahlavanpour B., (TF 15.01.01) New guideline for interpretation of dissolved gas analysis in oil filled transformers, Electra, No. 186, Oct. 1999, pp. 31-51.
  • [5] Borsi H., Dumke K, Gockenbach E, Relationship between faults and generated gases in transformer liquids. Proceedings of 13th International Conference on Dielectric Liquids, Nara, Japan, July 20-25,1999.
  • [6] Van Brunt R.J., Physics and Chemistry of Partial Discharge and Corona, Recent Advances and Future Challenges, IEEE Trans, on Dielectrics and Electrical Insulation, Vol. 1, No. 5, Oct. 1994.
  • [7] Zadeh L.A., Fuzzy Logic = Computing with Words, IEEE Trans. On Fuzzy Systems, Vol. 4, No. 2, May 1996, pp. 103-111.
  • [8] Sugeno M., A Fuzzy-Logic-Based Approach to Qualitative Modeling. IEEE Trans. On Fuzzy Systems, Vol. 1. No. 1, Feb. 1993, pp. 7-31.
  • [9] Fofana I., Borsi H., Gockenbach E. and FARZANEH M., Ageing of transformer insulating materials under selective conditions, Euro. Trans. Electr. Power, Wiley Interscience, 2006.
  • [10] TRAEGER D.H., Einführung in die Fuzzy-Logik, B.G. Teubner, Stuttgart 1993.
  • [11] HAENDEL L., Clusterverfahren zur datenbasierten Generierung interpretierbarer Regeln unter Verwendung lokaler Entscheidlingskriterien Ph. D. Dissertation, Fakulty for E. and I., Univ. Dortmund, Germany.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPW9-0004-0049
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