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Novel method for overall condition assessment of power transformers

J.L. Velásquez Contreras, M.A. Sanz-Bobi, W. De Villiers, M. Pütter

17th International Symposium on High Voltage Engineering - ISH 2011, Hannover (Germany). 22-26 August 2011


Summary:

Condition assessment is one of the key aspects behind the life cycle management of power transformers, as by means of condition assessment well-founded asset management decisions can be taken. For condition assessment different monitoring and diagnostic methods are applied. Thus, a systematic integration of all techniques is necessary. However, existing methodologies for condition assessment do not consider the required combination of all monitoring and diagnostic methods in a single approach. As a contribution to this necessity, in this paper a novel method for condition assessment based on multi-agent systems is presented. The application of the proposed method is also exemplified by means of a real case study. The obtained results are very encouraging as the proposed method allows combining systematically the outcome of the diagnostic methods and as a result a numerical value called condition index representing the healthiness state of a transformer is obtained.


Published in: ISH 2011: 17th International Symposium on High Voltage Engineering, August, 22 - 26, 2011, Hannover, Germany / ed.: Ernst Gockenbach ...: Proceedings (English), ISBN: 9783800733644

Publication date: 26-Aug-2011.


Citation:
J.L. Velásquez Contreras, M.A. Sanz-Bobi, W. De Villiers, M. Pütter, "Novel method for overall condition assessment of power transformers", presented at 17th International Symposium on High Voltage Engineering - ISH 2011, Hannover, Germany, 22-26 August 2011. In: ISH 2011: 17th International Symposium on High Voltage Engineering, August, 22 - 26, 2011, Hannover, Germany / ed.: Ernst Gockenbach ...: Proceedings (English)

    Research topics:
  • *RAMS Analysis compliance with the regulations IEC 61508, Quality Control and Assurance
  • *Artificial intelligence applied to maintenance diagnosis and reliability
    Research groups:
  • Instituto de Investigación Tecnológica (IIT)

IIT-11-148A

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