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Time-frequency analysis on pulse current of partial discharge

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PL
Czasowo-częstotliwościowa analiza prądu wyładowania niezupełnego
Języki publikacji
EN
Abstrakty
EN
This paper introduces a time-frequency analysis (TFA) method of Wigner-Ville distribution (WVD) to analyze partial discharge (PD) pulse current signals with wideband detection for fundamental studies. The mathematical model of WVD is described, and its application in an analysis of PD pulse current signals at DC voltage shows its great advantage.
PL
W artykule zastosowano czasowo-częstotliwościową metodę rozkładu Wignera-Ville (WVD) do analizy prądu impulsowego wyładowania niezupełnego. Przedstawiono model matematyczny WVD oraz przykłady analizy prądu wyładowania.
Rocznik
Strony
40--44
Opis fizyczny
Bibliogr. 18 poz., rys., schem.
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autor
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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 (2009), No. 10, 12-15
  • [3] Morshuis P., Jeroense M., Beyer J., Partial discharge part XXIV: the analysis of PD in HVDC equipment, IEEE Electrical Insulation Magazine, (13) 1997, No. 2, 6-16
  • [4] 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
  • [5] Brosche T., Hiller W., Fauser E., Novel characterization of PD signals by real-time measurement of pulse parameters, IEEE Transactions on Dielectrics and Electrical Insulation, 6 (1999), No. 1, 51-59
  • [6] Mazroua A., Bartnikas R., Discrimination between PD pulse shapes using different neural network paradigms, IEEE Transactions on Dielectrics and Electrical Insulation, 1 (1994), No. 6, 1119-1131
  • [7] Lemke E., Strehl T., Markalous S., UWB PD diagnostics of powr cable terminations in service, IEEE Transactions on Dielectrics and Electrical Insulation, 15 (2008), No. 6, 1570-1575
  • [8] Nyamupangedengu C., Jandrell R., Inflence of supply voltage feruqnecy and magnitude on PD pulse parameters, IEEE Transactions on Dielectrics and Electrical Insulation, 15 (2008), No. 6, 1590-1600
  • [9] Wang GL., Li YM., Pulse current parameter evaluation of typical partial discharge models in oil, Power System Technology, 25 (2001), No. 10, 34-38
  • [10] Mazroua A.A, Bartnikas R., Salama M.M.A, Neural network system using the multi-layer perception technique for the recognition of PD pulse shapes due to cavities and electrical trees, IEEE Transactions on Dielectrics and Electrical Insulation, 10 (2005), No. 1, 92-96
  • [11] Wang XD., Li BQ., Foman H.T., Analysis of partial discharge signal using the Hilbert-Huang transform, IEEE Transactions on Power Delivery, (21) 2006, No. 3, 1063-1066
  • [12] Boashash B., Black P., An efficient real-time implementation of the Wigner-Ville distribution, IEEE Transactions on Acoustics, Speech and Signal Processing, (35) 1987, No. 11, 1611-1618
  • [13] Boashash B., Note on the use of the Wigner distribution for time-frequency signal analysis, IEEE Transactions on Acoustics, Speech, and Signal Processing, (36) 1998, No. 9, 1518-1521
  • [14] Cohen L., Time-frequency distribution – a review, Proceedings of the IEEE, (77) 1989, No. 7, 941-981
  • [15] Choi H., Williams W., Improved time-frequency representation of muticomponent signals using exponential kernels, IEEE Transactions on Acoustics, Speech and Signal processing, 37(1989), No. 6, 862-871
  • [16] Daniel B., Fast calculation of the Choi-Williams time-frequency distribution, IEEE Transactions on Signal Processing, 40(1992), No. 2, 450-455
  • [17] Bonato P., Heng M.S.S., Gongzlez-Cueto J., Roy S.H., EMG-based measures of fatigue during a repetitive squat exercise, IEEE Engineering in Medicine and Biology Magazine, 20 (2001), No. 6, 2001.
  • [18] Papandreou A., Boudreaux-Bertels G.F., Generalization of the Choi-Williams distribution and the Butterworth distribution for time-frequency analysis, IEEE Transactions on Signal Processing, (41) 1993, No. 1, 463-471
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPOM-0017-0008
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