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Study on time-frequency extractors for partial discharge pulse current used in sequence grouping and identification

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
PL
Czasowo-częstotliwościowa ekstrakcja i identyfikacja impulsu wyładowania niezupełnego
Języki publikacji
EN
Abstrakty
EN
This paper introduces a general way to make feature extraction for partial discharge (PD) pulse waveshape used in sequence grouping resorting with equivalent time-frequency method. A digital ac PD pulse detection system with bandwidth of 10 kHz - 40 MHz and sampling rate of 100 MS/s is introduced, which was developed to study those feature extractors. Simulation and test results with gas insulated switch (GIS) show that they are practical and effective to develop PD detection system with grouping and identification technique.
PL
Dokonano ekstrakcji impulsu wyładowania niezupełnego przy wykorzystaniu odpowiedniej metody czasowo-częstotliwościowej. Wykorzystano system cyfrowy z pasmem 10 kHz – 40 MHz i częstotliwością próbkowania 100 MS/s. Badania wyłącznika gazowego potwierdziły skuteczność metody.
Rocznik
Strony
340--349
Opis fizyczny
Bibliogr. 23 poz., il., tabl., wykr.
Twórcy
autor
autor
autor
autor
autor
  • East China Electric Power Test & Research Institude Company Limited, Shanghai, China, 200437, siwenrong@gmail.com
Bibliografia
  • [1] Gulski E., Chojnowski P., Rakowska A., Importance of sensitive on-site testing and diagnosis of transmission power cables, Przegląd Elektrotechniczny, 85 (2009), No. 2, 171-176
  • [2] Noske S., Rakowska A., Siodla K., Measurements of partial discharges as source of management knowledge improvement of the power calbe network, Przegląd Elektrotechniczny, 84 (2008), No. 10, 12-15
  • [3] Ziomek W., Kuffelz E., Sikorski W., Location and recognition of partial discharge sources in power transformer using advanced acoustic emission method, Przegląd Elektrotechniczny, 84 (2008), No. 10, 20-23
  • [4] Szadkowski M., Image of a partial discharge between two conductors which are rapidly changing position against themselves, Przegląd Elektrotechniczny, 84 (2008), No. 10, 203-206
  • [5] Gulski E.,Piepers OM.,Majsymiuk J., Analysis of condition data of high voltage components, Przegląd Elektrotechniczny, 83 (2007), No. 12, 64-68
  • [6] IEC 60270, Partial discharge Measurements, 3rd ed., Mar. 2001
  • [7] Judd M.D, Farish O., Pearson S.J, Dielectric windows for UHF partial discharge detection, IEEE Transactions on Dielectrics and Electrical Insulation, 8 (2001), No. 1, 953-958
  • [8] Lundqaard L.E., Partial discharge. XIV. Acoustic partial discharge detection - practical application, IEEE Electrical Insulation Magazine, 8 (1992), No. 3, 34-43
  • [9] Wang X.D., Li, Z B.Q., Roman H., An ultra-sensitive optical MEMS sensor for partial discharge detection, Journal of Micromechanics Microengineering, 15 (2005), No. 8, 521-527
  • [10] Contin A., Cavallini A., Montanari G.C., Pasini G., Digital detection and fuzzy classification of partial discharge signals, IEEE Transactions on Dielectrics and Electrical Insulation, 9 (2002), No. 12, 335-348
  • [11] Cavallini A., Contin A., Montanari G.C., Puletti F., Advanced PD inference in on-field measurements, part 1: noise rejection, IEEE Transactions on Dielectrics and Electrical Insulation, 10 (2003), No. 3, 528-537
  • [12] Cavallini A., Montanari G.C., Puletti F., Contin A., A new methodology for the identification of PD in electrical apparatus: properties and applications, IEEE Transactions on Dielectrics and Electrical Insulation, 12 (2005), No.12, 203-214
  • [13] Si Wenrong, Li Junhao, Li Yanming, Digital detection, grouping and classification of partial discharge signals at DC voltage, IEEE Transactions on Dielectrics and Electrical Insulation, 15 (2008), No. 6, 1663-1664
  • [14] Babnik T., Aggarwal R.K., Moore P.J., Principal component and hierarchical cluster analyses as applied to transformer partial discharge data with particular reference to transformer condition monitoring, IEEE Transactions on Power Delivery, 1 (2008), No. 2, 1-9
  • [15] Yan W.Z., Goebel K.F., Feature selection for partial discharge diagnosis, Proceedings of the 12th SPIE: Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological System IV, 5768 (2005), 166-175
  • [16] Si Wenrong, Li Junhao, Li Yanming, The fast grouping technique of PD sequence based on the nonlinear mapping of pulse shapes, Transactions Of China Electrotechnical Society, 23 (2009), No. 3, 216-221
  • [17] Si Wenrong, Li Junhao, Li Yanming, Fast feature extraction technique for PD pulse shape based on wideband detection, Advanced Technology of Electrical Engineering and Energy, 27 (2008), No. 2, 21-25
  • [18] Si Wenrong, Li Junhao, Li Yanming, Time-frequency analysis on pulse current of parital dishcharge, Przegląd Elektrotechniczny, 85 (2009), No. 7, 40-44
  • [19] Si Wenrong, Li Junhao, Li Yanming, Stuyd on white noise suppression for PD signals using ICA, Przegląd Elektrotechniczny, 85 (2009), No. 12, 252-257
  • [20] Hikita M., Yamada K., Nakamura A., Mizutani T., Oohasi A., Measurements of partial discharges by computer and analysis of partial discharge distribution by the Monte Carlo method, IEEE Transactions on Electrical Insulation, 25 (1990), No. 12, 453-468
  • [21] Si Wenrong, Li Junhao, Yuan Peng, Li Yanming, Detection and identification techniques for multi-PD source in GIS, Proceedings of the CSEE, 29 (2009), No.16, 119-126
  • [22] Si Wenrong, Li Junhao, Guo Hong, Li Yanming, A new method for frequency-domian transform of PD pulse, High Voltage Apparatues, 44 (2008), No. 5, 453-455
  • [23] Wang X.D., Li B.Q., Liu Z.W., Roman H.T., Farmer K.R., Analysis of partial discharge signal using the Hilbert-Huang transform, IEEE Transactions on Power Delivery, 21 (2006), No. 12, 1063-1067
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA7-0054-0005
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