Application of wavelet analysis to the determination of partial discharge location in multiple-α transformer windings

Electric Power Systems Research

Volumn 78, Issue 2, 2008, Pages 202-208

  Naderi, Mohammad S ^a   Blackburn, T R ^a   Phung, B T ^a   Naderi, Mehdi S ^a   Nasiri, A ^b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b University of Wisconsin Milwaukee   (United States)

Author keywords

Partial discharge; PD location; Power transformer; Signal de noising; Signal processing; Wavelet transform

Indexed keywords

ELECTRIC INSULATION; ELECTRIC UTILITIES; ELECTRIC WINDINGS; PARTIAL DISCHARGES; POWER TRANSFORMERS; PROBLEM SOLVING; WAVELET TRANSFORMS;

INSULATION SYSTEMS; SIGNAL DENOISING;

WAVELET ANALYSIS;

EID: 37249020820     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2007.02.004     Document Type: Article

References (15)

1. Leibfried T. Online monitors keep transformers in service. IEEE Trans. Comput. Appl. Power 11 July (3) (1998) 36-42
2. Shim I., Soraghan J.J., and Siew W.H. Digital signal processing applied to the detection of partial discharge: an overview. IEEE Electr. Insulation Mag. 16 3 (2000) 6-12
3. Ma X., Zhou C., and Kemp I.J. Interpretation of wavelet analysis and its application in partial discharge detection. IEEE Trans. Dielectr. Electri. Insulation 9 3 (2002) 446-457 (see also IEEE Transactions on Electrical Insulation)
4. Louis A.K., Maab P., and Krivda A. Classification of partial discharge. IEEE Trans. Electr. Insulation 28 (1993) 917-931
5. Daubechies I. The wavelet transform, time-frequency localization and signal analysis. IEEE Trans. Inf. Theory 36 (1990) 961-1005
6. Mallat S.G. A theory for multi-resolution signal decomposition: the wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell. 11 (1989) 674-693
7. Mohammad S., Naderi M., Vakilian T.R., Blackburn B.T., Phung H.N.O., Mehdi S., and Naderi. An optimal wavelet filtering method for noise suppression of pd measured signal and its location in power transformer winding. IEEE International Conference on Dielectric Liquids (ICDL 2005) (2005) 269-272
8. James R.E., Phung B.T., and Su Q. Application of digital filtering techniques to the determination of partial discharge location in transformers. IEEE Trans. Electr. Insulation 24 August (4) (1989) 657-668 (see also IEEE Transactions on Dielectrics and Electrical Insulation)
9. Zingales G. The requirements of a pd measuring system analyzed in the time domain. IEEE Trans. DEL 7 (2000) 2-5
10. Werle P., Akbari A., Borsi H., and Gockenbach E. Enhanced online PD evaluation on power transformers using wavelet techniques and frequency rejection filter for noise suppression. IEEE International Symposium on Electrical Insulation (2002) 195-198
11. Shim I., Soraghan J.J., and Siew W.H. Detection of PD utilizing digital signal processing methods, Part 3: open-loop noise reduction. IEEE Electr. Insulation Mag. 17 1 (2001)
12. Young R.K. Wavelet Theory and its Applications (1993), Kluwer Academic Publishers, Pennsylvania State University
13. Satish L., and Nazneen B. Wavelet-based denoising of partial discharge signals buried in excessive noise and interference. IEEE Trans. Dielectr. Electri. Insulation 10 2 (2003) 354-367 (see also IEEE Transactions on Electrical Insulation)
14. Phung B.T., Blackburn T.R., and Lay W.W. Partial discharge location in transformer windings. 13th Int. Symp. on High-Voltage Engineering (ISH). Delft, The Netherlands (2003)
15. Naderi M.S., Vakilian M., Blackburn T.R., Phung B.T., Zhang H., and Naderi M.S. A method for studying partial discharges location and propagation within power transformer winding based on the structural data. Proc. International Symposium on Electrical Insulating Materials (ISEIM 2005), vol. 2 (2005) 490-493