PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Chaotic characteristics of time series of partial discharges in oilpaper insulation and their applications in pattern recognition

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
PL
Analiza przebiegów chaotycznych wyładowań niezupełnych w izolacji papierowo-olejowej
Języki publikacji
EN
Abstrakty
EN
In order to recognize partial discharges (PD), five kinds of typical defects in oil-paper insulation are built and measured with current pulse method, and chaos method is used to research the time series of PD signals. The results revealed that the PD is of obvious chaotic characteristic, and the PD process is chaotic one. The PD patterns can be qualitatively analyzed and recognized by using the chaotic time series of PD and their chaotic attractors. Phase space reconstruction parameters and post-reconstruction chaotic characteristic quantities can be selected to quantify the PD's chaotic characteristics. Verification and comparison on pattern recognition effects of PRPD and CAPD were performed respectively by adopting the neural network of radial basis function (RBF), and the result showed that the effects of both were good and had their own advantages. Besides, statistical operators in PRPD mode and chaotic characteristic quantities in CAPD mode were comprehensively selected as the input vectors of neural network, and the average recognition rate can reach 95%, this result showed that the recognition on PD was improved by a relatively large scale.
PL
Przeprowadzono badania pięciu typowych przypadków defektów izolacji papierowo-olejowej. Sygnały wyładowań niezupełnych przetworzono w szeregi czasowe. Stwierdzono że process ma character chaotyczny. Wykorzystano teorię przebiegów chaotycznych do analizy sygnału i klasyfikacji wad.
Rocznik
Strony
219--224
Opis fizyczny
Bibliogr. 16 poz., rys., tab., wykr.
Twórcy
autor
autor
autor
autor
  • School of Electrical Engineering, State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, xjtuhvljh@gmail.com
Bibliografia
  • [1] Edward Gluski. Computer-Aided Recognition of Partia Discharges Using Statistical Tools. Delft University Press, DelS Netherlands, 1991.
  • [2] T. Okamoto, T. Tanaka. Novel Partial Discharge Measurement Computer-aided Measurement Systems[J]. IEEE Transacfais on Electrical Insulation. 1986, 21(6): 1015-1019.
  • [3] Andrej KRIVDA.. Recognition of Discharges -Discrimination ani Classification. Delft University Press, Delft, Netherlands, 1995
  • [4] R. Altenburger, C. Heitz , J. Timmer. Analysis of phased-resolved partial discharge patterns of voids based on a stochastic process approach[J]. Journal of Physics D: Applied Physics. 35(2002):1149-1163.
  • [5] A. Lapp, H. -G. Kranz. The Use of the CIGRE Data Format (r PD Diagnosis Applications. IEEE Transactions on Dielectricś and Electrical Insulation. 2000,7(1):102-111.
  • [6] R. Patsch, F. Berton. Pulse Sequence Analysis-a diagnostic tool based on the physics behind partial discharges. Journal of Physics D: Applied Physics. 2002,35(1 ):25-32.
  • [7] Mizukami, Y. T.Inoue, Nonlinear Dynamical Study of Partiai Discharge Phenomena. Proceedings of 13th International Conference on Dielectric Liquids. 1999: Nara Japan.
  • [8] Y. S. Lim, S. H. Kim, Identification of Chaotic Characteristics in partial discharge[C]//Proceedings of the 1999 IEEE 13th International Conference on Dielectric Liguids. Nara, Japar 1999:556-559.
  • [9] J.Y. Koo, , Y.S. Lim, W. J. Kang, A Possible Application of the PD Detection Technigue using electro-optic Pockels Celi wifr nonlinear characteristic analysis on the PD signals. IEEE-CEIDP2000. 2000. 531-534.
  • [10] J. Y. Koo, , J. Lee, Y. S. Lim, Comparison of diagnostic method for the pattern analysis due to artificial defects introduced atthe interface in XLPE cable joint using laboratory model Transmission and Distribution Conference and Exhibition 2002: Asia Pacific IEEE/PES. 2002: Pusan Korea. 1426 - 1431.
  • [11] Y. S. Lim, J. Y. Koo, Chaotic analysis of partial discharge (CAPD) as a novel approach to investigate insulation degradation caused by the various defects[C].// Proceedings of IEEE International Symposium on Industrial Electronics. Pusan, Korea. 2001:413-416.
  • [12] Y. S. Lim, Y. J. Koo, Chaotic Analysis of Partial Discharge (CAPD)- A novel approach to identify the naturę of PD source, in 2001 Annual Report Conference on Electrical Insulation and Dielectric Phenomena. 2001. 324-328.
  • [13] K. Alligood, T. Sauer, J. Yorke. CHAOTIC - An introduction to dynamical systems. Springer, 1996.
  • [14] D. Kapłan, L. Glass. Understanding Nonlinear Dynamics, Springer. 1995.
  • [15] B.K, M., R. B, H. D.l, Determining embedding dimension for phase-space reconstruction using a geometrical construction. Physical Review A. 1992. 45(5): 3403-3411.
  • [16] P. D. Wilde. Neural network models: theory and projects. Springer. 1997.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA7-0045-0051
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.