PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Application of a Phase Resolved Partial Discharge Pattern Analysis for Acoustic Emission Method in High Voltage Insulation Systems Diagnostics

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
An alternative method for analysis of acoustic emission (AE) signals generated by partial discharges (PD), based on a correlation between voltage phase run and AE pulses, so called phase resolved PD pattern (PRPD), is presented in the paper. PRPD pattern is a well-known analysis tool commonly used in such PD diagnostic methods as conventional electrical and UHF ones. Moreover, it yields various signal analysis abilities and allows a direct correlation indication between measurement results achieved using different methods. An original PRPD measurement methodology applied for AE method as well as some exemplary measurement results and further data analysis capabilities are presented in the paper. Also a comparative analysis of PRPD patterns achieved using various measurement methods and different PD source configurations have been investigated. All presented experiments were done under laboratory conditions using PD model sources immersed in the insulation oil. The main purpose of the presented research is to indicate an all-embracing analytical tool that yields an ability to direct comparison (qualitative as well as quantitative) of the AE measurement results with other commonly applied PD measurement methods. The presented results give a solid fundamental for further research work concerning a direct correlation method for AE and other described in the paper diagnostic techniques, mainly in order to continue PD phenomena analysis and assessment in real life high voltage apparatus insulation systems under normal onsite operation conditions.
Rocznik
Strony
235--243
Opis fizyczny
Bibliogr. 37 poz., rys., tab., wykr.
Twórcy
autor
  • Institute of Electrical Power and Renewable Energy, Opole University of Technology, Prószkowska 76, 45-758 Opole, Poland
autor
  • Institute of Electrical Power and Renewable Energy, Opole University of Technology, Prószkowska 76, 45-758 Opole, Poland
Bibliografia
  • 1. Álvarez F., Garnacho F., Ortego J., Sánchez-Urán M. Á. (2015), Application of HFCT and UHF sensors in on-line partial discharge measurements for insulation diagnosis of high voltage equipment, Sensors, 15, 4, 7360-7387.
  • 2. Boczar T., Borucki S., Cichoń A., Zmarzły D. (2009), Application possibilities of artificial neural networks for recognizing partial discharges measured by the acoustic emission method, IEEE Transactions on Dielectrics and Electrical Insulation, 16, 1, 214-223.
  • 3. Boczar T., Cichoń A., Borucki S. (2014), Diagnostic expert system of transformer insulation systems using the acoustic emission method, IEEE Transactions on Dielectrics and Electrical Insulation, 21, 2, 854-865.
  • 4. Boczar T., Cichoń A., Wotzka D., Kunicki M., Kozioł M. (2017), Indicator Analysis of Partial Discharges Measured Using Various Methods in Paper-Oil Insulation, IEEE Transactions on Dielectrics and Electrical Insulation, 24, 1, 120-128.
  • 5. Boczar T., Zmarzly D. (2006), Optical spectra of surface discharges in oil, IEEE Transactions on Dielectrics and Electrical Insulation, 13, 3, 632-639.
  • 6. Borucki S., Cichoń A., Majchrzak H., Zmarzły D. (2017), Evaluation of the technical conditio of the active part of the high power transformer based on measurements and analysis of vibroacoustic signals, Archives of Acoustics, 42, 2, 313-320.
  • 7. Borucki S. (2012), Diagnosis of technical condition of power transformers based on the analysis of vibroacoustic signals measured in transient operating conditions, IEEE Transactions on Power Delivery, 27, 2, 670-676.
  • 8. Carneiro J. C., Jardini J. A., Brittes J. L. P. (2012), Substation power transformer risk management: reflecting on reliability centered maintenance and monitoring, [in:] Transmission and Distribution: Latin America Conference and Exposition (T&D-LA), 2012 Sixth IEEE/PES, pp. 1-8.
  • 9. Chaidee E., Suwanasri T., Adsoongnoen C. (2007), Analysis of failure statistics and history test record for power transformer maintenance, [in:] International Conference on Sustainable Development: Challenges and Opportunities for GMS, pp. 1-7.
  • 10. Chen M. K., Chen J. M., Cheng C. Y. (2014), Partial discharge detection by RF coil in 161 kV power transformer, IEEE Transactions on Dielectrics and Electrical Insulation, 21, 3, 1405-1414.
  • 11. Cichoń A., Borucki S., Boczar T. (2008), The wavelet analysis the acoustic emission signals generated by multi-source partial discharges, Journal of Acoustical Society of America, 123, 3316.
  • 12. Coenen S., Tenbohlen S. (2012), Location of PD sources in power transformers by UHF and acoustic measurements, IEEE Transactions on Dielectrics and Electrical Insulation, 19, 6, 1934-1940.
  • 13. Deshpande A. S., Mangalvedekar H. A., Cheeran A. N. (2013), Partial discharge analysis using Energy patterns, International Journal of Electrical Power & Energy Systems, 53, 184-195.
  • 14. Frącz P., Boczar T., Borucki S., Cichoń A., Zmarzły D. (2012), Results of optical signals analyses emitted by electrical discharges recorded with UV camera, Acta Physica Polonica A, 122, 5, 814-817.
  • 15. Głowacz A., Głowacz Z. (2017), Recognition of rotor damages in a DC motor using acoustic signals, Bulletin of the Polish Academy of Sciences Technical Sciences, 65, 2.
  • 16. Harbaji M., Shaban K., El-Hag A. (2015), Classification of common partial discharge types in oil-paper insulation system using acoustic signals, IEEE Transactions on Dielectrics and Electrical Insulation, 22, 3, 1674-1683.
  • 17. Kraetge A., Hoek S., Koch M., Koltunowicz W. (2013), Robust measurement, monitoring and analysis of partial discharges in transformers and other HV apparatus, IEEE Transactions on Dielectrics and Electrical Insulation, 20, 6, 2043-2051.
  • 18. Kundu P., Kishore N. K., Sinha A. K. (2012), Identification of two simultaneous partial discharge sources in an oil-pressboard insulation system using acoustic emission techniques, Applied Acoustics, 73, 4, 395-401.
  • 19. Kunicki M., Cichoń A. (2016), Time and frequency domain analysis of partial discharges using electrical method, Measurement Automation Monitoring, 62, 2, 72-77.
  • 20. Kunicki M., Cichoń A., Borucki S. (2016), Study on descriptors of acoustic emission signals generated by partial discharges under laboratory conditions and in on-site electrical power transformer, Archives of Acoustics, 41, 2, 265-276.
  • 21. Lima S. L., Saavedra O. R., Miranda V. (2015), A two-level framework to fault diagnosis and decision making for power transformers, IEEE Transactions on Power Delivery, 30, 1, 497-504.
  • 22. Majidi M., Oskuoee M. (2015), Improving pattern recognition accuracy of partial discharges by new data preprocessing methods, Electric Power Systems Research, 119, 100-110.
  • 23. Markalous S., Tenbolhen S., Feser K. (2008), Detection and location of partial discharges in power transformers using acoustic and electromagnetic signals, IEEE Transactions on Dielectrics and Electrical Insulation, 15, 1576-1583.
  • 24. Nagi Ł., Zmarzły D., Boczar T., Frącz P. (2016), Detection of high-energy ionizing radiation generated by electrical discharges in oil, IEEE Transactions on Dielectrics and Electrical Insulation, 23, 4, 2036-2041.
  • 25. Ramírez-Niño J., Pascacio A. (2009), Acoustic measuring of partial discharge in power transformers, Measurement Science and Technology, 20, 11, 115108.
  • 26. Rubio-Serrano J., Rojas-Moreno M. V., Posada J., Martinez-Tarifa J., Robles G., Garcia-Souto J. (2012), Electro-acoustic detection, identification and location of partial discharge sources in oil-paper insulation systems, IEEE Transactions on Dielectrics and Electrical Insulation, 19, 5, 1569-1578.
  • 27. Shang H., Lo K., Li F. (2017), Partial discharge feature extraction based on ensemble empirical mode decomposition and sample entropy, Entropy, 19, 9, 439.
  • 28. Siegel M., Beltle M., Tenbohlen S. (2017), Application of UHF sensors for PD measurement at power transformers, IEEE Transactions on Dielectrics and Electrical Insulation, 24, 1.
  • 29. Takahashi R. H. C., Diniz H. E. P., Carrano E. G., Campelo F., Batista L. S. (2016), Multicriteria transformer asset management with maintenance and planning perspectives, IET Generation, Transmission & Distribution, 10, 9, 2087-2097.
  • 30. Tenbohlen S., Coenen S., Djamali M., Müller A., Samimi M. H., Siegel M. (2016), Diagnostic measurements for power transformers, Energies, 9, 5, 1-25.
  • 31. Vahidi F., Tenbohlen S. (2014), Statistical failure analysis of european substation transformers, [in:] ETG-Fachbericht-Diagnostik elektrischer Betriebsmittel 2014, March.
  • 32. Wang J., Liao R., Zhang Y., Meng F. (2015), Economic Life Assessment of Power Transformers Using an Improved Model, CSEE Journal of Power and Energy Systems, 1, 3, 68-75.
  • 33. Wang K., Li J., Zhang S., Liao R., Wu F., Yang L., Li J., Grzybowski S., Yan J. (2015), A hybrid algorithm based on s transform and affinity propagation clustering for separation of two simultaneously artificial partial discharge sources, IEEE Transactions on Dielectrics and Electrical Insulation, 22, 2, 1042-1060.
  • 34. Witos F., Olszewska A., Szerszeń G. (2011), Analysis of properties characteristic for acoustic emission signals recorded on-line in power oil transformers, Acta Physica Polonica A, 120, 4, 759-762.
  • 35. Wotzka D. (2012), Mathematical description of acoustic emission signals generated by partial discharges, [in:] International Conference on High Voltage Engineering and Application, Shanghai, pp. 760-763.
  • 36. Wotzka D., Cichoń A., Boczar T. (2012), Modeling and experimental verification of ultrasound transmission in electro insulation oil, Archives of Acoustics, 37, 1, 19-22.
  • 37. Zheng S., Li C., Tang Z., Chang W., He M. (2014), Location of PDs inside transformer windings using UHF methods, IEEE Transactions on Dielectrics and Electrical Insulation, 21, 1, 386-393.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-290badbf-dbbb-4ad6-a94a-b301e489502e
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.