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Tytuł artykułu

Application Possibilities of The Statistical Analysis and Digital Processing Methods in the Characteristics of the AE Signals Generateg by PDs

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The subject matter of this paper refers to the improvement of the AE method used in the measurements of PDs occuring in oil insulation systems of power appliances. The deatailed subject matter, however, is connected with presenting appilacion possibilities of the descriptive statistics indicators, statistical analysis, and the methods of digital signal processing in the characterstics of the AE pulses generated by basic PD forms.
Rocznik
Tom
Strony
63--82
Opis fizyczny
Bibliogr. 23 poz., rys.
Twórcy
autor
  • Technical University of Opole, Department of Electrical Engineering and Automatic Control ul. K. Sosnowskiego 31, 45-272 Opole, Poland, tboczar@po.opole.pl
Bibliografia
  • [1] L. Antoniou, K. Gustafson, “Wavelets and stochastic processes”, Mathematics and Computers in Simulation, No. 49, pp. 81-104, 1999.
  • [2] F. Asamoah, “Discrete wavelet analysis of signals”, International Journal of Electrical Engineering Education, Vol.36, No.3, pp. 255-265, 1999.
  • [3] T. Bengtsson, M. Leijon, L. Ming, B. Jonsson, “Directivity of acoustic signals from PD in oil”, IEE proceedings, Vol. 142, No. 1, pp. 1-9, 1995.
  • [4] T. Bengtsson, M. Leijon, L. Ming, B. Jonsson, “Transformer PD diagnosis using AE technique”, 10th International Symposium on High Voltage Engineering, Montreal, Quebec, Canada, pp. 73-79,1997.
  • [5] M. Beyer, H. Borsi, M. Hartje, “Some aspect about possibilities and limitation of acoustic PD measurements in insulating fluids”, 5th International Symposium on High Voltage Engineering, Braunschweig, Germany, pp. 1-4, 1987.
  • [6] A. M. Bianchi, L.T Mainardi., S. Cerutti, “Time-Frequency analysis of biomedical signals”. Transactions of the Institute of Measurements and Control, No. 22, Vol. 3, pp. 215-230, 2002.
  • [7] T. Boczar, “Identification of fundamental forms of partial discharges based of the results of frequency analysis of their acoustic emission”, Journal of Acoustic Emission Vol. 17, No. 3-4, Los Angeles USA, pp. S7-S12, 1999.
  • [8] T. Boczar, “Identification of a Specific Type of Partial Discharges form Acoustic Emission Frequency Spectra”, IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 8, No 4, pp. 598-606, 2001.
  • [9] T. Boczar, P. Frącz, D. Zmarzły, “Analiza korelacyjna sygnałów emisji akustycznej generowanej wyładowania ulotowe w liniach elektroenergetycznych”. Zeszyt Specjalny Przeglądu Elektrotechnicznego, VI Ogólnopolskie Sympozjum Inżynieria Wysokich Napięć IW 2002, Poznań-Kiekrz, str. 18-22, 2002.
  • [10] T. Boczar, S. Wolny, “Application of calculus of probability for the randomness evaluation of acoustic emission signals generated by partial discharges” 31st International Conference Defektoskopie 2001, Czech Society for Nondestructive Testing, Prague, Czech Republic, , pp. 55-62, 2001.
  • [11] S. Gouttebroze, J. Lardies, “On using the wavelet transform in modal analysis”, Mechanics Research Communications, Vol. 28, No. 5, pp. 561-569, 2001.
  • [12] E. Grossman, K. Feser, “Online Pd-Monitoring on Transformers Using Acoustic Emission Techniques”, International Conference APTADM’2001, Wroclaw, Poland, pp. 264-268, 2001.
  • [19] H. Hangan, G. A. Kopp, A. Vemet, R. Martinuzzi, “A wavelet pattern recognition technique for identifying flow structures in cylinder generated wakes”, Journal of Wind Engineering and Industrial Aerodynamics, No. 89, pp. 1001-1015,2001.
  • [20] A. Kelen, ‘Trends in PD diagnostics. When new options proliferate, so do old and new problems", IEEE Trans. Electrical Insulation, Vol. 2, No. 4, pp. 529-534, 1995.
  • [21] J. L. Kirtley, J. C. Lavalle, D. J. McCarthy, “Acoustic monitoring of transformer structures”, CIGRE Symposium, Raport No. 3- 05.87, Vienna, pp. 1-5,1987.
  • [22] E. M. Lalitha, L. Satish, “Wavelet Analysis for Classification of Multi-source PD Patterns”, IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 7, No. 1, pp. 40-47, 2002.
  • [22] X. Ma, C. Zhou, I. J. Kemp, “Interpretation of wavelet Analysis and Its Application in Partial Discharge Detection”, IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 9, No. 3, pp. 446-457, 2002.
  • [23] K. Masatake, T. Ampol, “Detection of Wide-Band E-M Signals Emitted from Partial Discharge Occuring in GIS Using Wavelet”, IEEE Transactions on Power Delivery, Vol. 15, No. 2, pp. 467-472, 2002.
  • [24] P. Purkait , S. Chakravorti, “Pattern Classification of Impulse Faults in Transformers by Wavelet Analysis”, IEEE Transactions on Dielectrics and Electrical Insulation, Vol.9, No.4, pp. 555-562, 2002.
  • [25] J. Ren , Q. Mao, J. Li, W. Lin, “Wavelet analysis of dynamic behavior in fluidized beds, Chemical Engineering Science”, No. 56, pp. 981-988, 2001.
  • [26] S. Rengarajan, A. Bhoomaiah, K. Krishna Kishore, “Acoustic PD measurements for transformer insulation-an experimental validation”, International Symposium on High-Voltage Engineering, IEE proceedings, pp. 1-8, 1999.
  • [27] S. Rengarajan, B. P. Singh, S. C. Gupta, D. K. Narayanan, “Transients in high voltage transmission lines due to fault and their effect on power transformer”, Cigre Regional Meeting for The African Continent, pp. 1-6, 1997.
  • [28] J. Skubis, EA w badaniach izolacji urządzeń elektroenergetycznych, IPPT-PAN, Warszawa, 1998.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ6-0008-0054
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