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Fault diagnosis of actual large-power high-voltage windings using transfer function method

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The transfer function (TF) method is presently a well-known method used to detect various types of winding damage in power transformers. Although abundant research has been done on this subject using laboratory windings as test objects, it is hard to find one, whose test objects are actual large-power transformer windings. Hence, a 400 kV disc winding consisting of 86 discs is used in this paper to study turn-to-turn short circuit with the help of the TF method. To evaluate the effects of this type of fault on TF curves, some mathematical comparison algorithms are used in this research.
Rocznik
Strony
269--281
Opis fizyczny
Bibliogr. 15 poz., rys., tab.
Twórcy
autor
autor
Bibliografia
  • [1] Feser K., Christian J., Leibfried T. et al., The transfer function method for detection of winding displacements on power transformers after transport. Short Circuit or 30 Years of Service, Cigré Paris, 12, 12/33-04 (2000).
  • [2] Christian J., Feser K., Procedures for detecting winding displacements in power transformers by the transfer function method. IEEE Transactions on Power Delivery 19(1): 214-220 (2004).
  • [3] Rahimpour E., Christian J., Feser K., Mohseni H., Transfer function method to diagnose axial displacement and radial deformation of transformer windings. IEEE Transactions on Power Delivery 18(2): 493-505 (2003).
  • [4] Stace M., Islam S.M., Condition monitoring of power transformers in the australian state of new south wales using transfer function measurements. Proceedings of the 5th International Conference on Properties and Applications of Dielectric Materials, pp. 248-251 (1997).
  • [5] Rahimpour E., Gorzin D., A new method for comparing the transfer function of transformers in order to detect the location and amount of winding faults. Archiv für Elektrotechnik (Electrical Engineering) 88(5): 411-416 (2005).
  • [6] Rahimpour E., Tenbohlen S., A mathematical model to investigate disc space variation in power transformer using transfer function analysis. 15-th International Symposium on High Voltage Engineering, Ljubljana, Slovenia, T7-146 (2007).
  • [7] Rahimpour E., Christian J., Feser K., Mohseni H., Modellierung der transformatorwicklung zur berechnung der übertragungsfunktion für die diagnose von transformatoren. Elektrie, Berlin 54(1-2): 18-30 (2000).
  • [8] Fei S., Zhang X., Fault diagnosis of power transformer based on support vector machine with genetic algorithm. Expert Systems with Applications 36: 11352-11357 (2009).
  • [9] Flores W.C., Mombello E., Jardini J.A., Rattá G., Fuzzy risk index for power transformer failures due to external short-circuits. Electric Power Systems Research 79: 539-549 (2009).
  • [10] Zambrano G.M.V, Ferreira A.C., Calôba L.P., Power transformer equivalent circuit identification by artificial neural network using frequency response analysi. IEEE Power Engineering Society General Meeting, pp. 1-6 (2006).
  • [11] De A., Chatterjee N., Impulse fault diagnosis in power transformers using self-organising map and learning vector quantization. IEE Proc-Gener. Trcmsni. Distrih. 148(5): 397-405 (2001).
  • [12] Asghari A., Werle P., Borsi H., Gockenbach E., Transfer function-based partial discharge localization in power transformers: a feasibility study. IEEE Electrical Insulation Magazine 18(5): 22-32 (2002).
  • [13] Wimmer R., Tenbohlen S., Heindl M. et al., Development of algorithms to assess the FRA, 15-th international symposium on high voltage engineering. Ljubljana, Slovenia, T7-523 (2007).
  • [14] Leibfried T., Die analyze der übertragungsfunktion als methode zur überwachung des isolationszustandes von großtransformatoren. Ph.D. Dissertation, University of Stuttgart, Stuttgart, Germany (1996).
  • [15] Wang M., Vandermaar A.J., Srivastara K.D., Evaluation of frequency response analysis data, 14th international symposium on high voltage engineering. Pp. 904-907 (2001).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS2-0063-0037
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