Hybrid method on signal de-noising and representation for online partial discharge monitoring of power transformers at substations

IET Science, Measurement and Technology

Volumn 9, Issue 7, 2015, Pages 890-899

  Chan, Jeffery C ^a   Ma, Hui ^a   Saha, Tapan K ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BLIND EQUALIZATION; CONDITION MONITORING; PARTIAL DISCHARGES; POWER TRANSFORMERS;

HYBRID METHOD; LABORATORY EXPERIMENTS; MEASURED SIGNALS; ON-LINE MEASUREMENT; ON-LINE PARTIAL DISCHARGE; ONLINE CONDITION MONITORING; RELIABLE OPERATION; WHITENING PROCESS;

SIGNAL DENOISING;

EID: 84944391474     PISSN: 17518822     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-smt.2014.0358     Document Type: Article

References (30)

1. Chen H.: 'Partial discharge identification system for high-voltage power transformers using fractal feature-based extension method', IET Sci. Meas. Technol., 2012, 7, (2), pp. 77-84
2. Sarathi R. Koperundevi G.: 'Investigation of partial discharge activity of single conducting particle in transformer oil under DC voltages using UHF technique', IET Sci. Meas. Technol., 2009, 3, (5), pp. 325-333
3. Zhou X. Zhou C. Kemp I.: 'An improved methodology for application of wavelet transform to partial discharge measurement denoising', IEEE Trans. Dielectr. Electr. Insul., 2005, 12, (3), pp. 586-594
4. Sriram S. Nitin S. Prabhu K.: 'Signal denoising techniques for partial discharge measurements', IEEE Trans. Dielectr. Electr. Insul., 2005, 12, (6), pp. 1182-1191
5. Cho N. Choi C. Lee S.: 'Adaptive line enhancement by using an IIR lattice notch filter', IEEE Trans. Acoust. Speech Signal Process., 1989, 37, (4), pp. 585-589
6. Ambikairajah R. Phung B. Ravishankar J.: 'Spectral features for the classification of partial discharge signals from selected insulation defect models', IET Sci. Meas. Technol., 2013, 7, (2), pp. 104-111
7. Gao R. Yan R.: 'Wavelets: theory and applications for manufacturing' (Springer, London, 2011)
8. Chang C. Jin J. Kumar S.: 'Denoising of partial discharge signals in wavelet packets domain', IEE Proc. Sci. Meas. Technol., 2005, 152, (3), pp. 129-140
9. Tang J. Li W. Liu Y.: 'Blind source separation of mixed PD signals produced by multiple insulation defects in GIS', IEEE Trans. Power Deliv., 2010, 25, (1), pp. 170-176
10. Tse P. Zhang J. Wang X.: 'Blind source separation and blind equalization algorithms for mechanical signal separation and identification', J. Vib. Control, 2006, 12, (4), pp. 395-423
11. Wang M. Ho C.: 'Application of extension theory to PD pattern recognition in high-voltage current transformers', IEEE Trans. Power Deliv., 2005, 20, (3), pp. 1939-1946
12. Gulski E.: 'Digital analysis of partial discharges', IEEE Trans. Dielectr. Electr. Insul., 1995, 2, (5), pp. 822-837
13. Randall R.: 'Vibration-based condition monitoring: industrial, aerospace and automotive applications' (A John Wiley and Sons, Ltd., 2011)
14. Kay S. Marple S.: 'Spectrum analysis - a modern perspective', Proc. IEEE, 1981, 69, (11), pp. 1380-1419
15. Burg J.: 'Maximum entropy spectral analysis'. PhD thesis, Stanford University, 1975
16. Randall R.: 'Applications of spectral kurtosis in machine diagnostics and prognostics', Key Eng. Mater., 2005, 293-294, pp. 21-32
17. Jelonnek B. Boss D. Kammeyer K.: 'Generalized eigenvector algorithm for blind equalization', Signal Process., 1997, 61, (3), pp. 237-264
18. Shalvi O. Weinstein E.: 'New criteria for blind deconvolution of nonminimum phase systems (channels)', IEEE Trans. Inf. Theory, 1990, 36, (2), pp. 312-321
19. Mendel J.: 'Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications', Proc. IEEE, 1991, 79, (3), pp. 278-305
20. Antoni J.: 'The spectral kurtosis: a useful tool for characterising non-stationary signals', Mech. Syst. Signal Process., 2006, 20, (2), pp. 282-307
21. Dwyer R.: 'Detection of non-Gaussian signals by frequency domain kurtosis estimation'. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Boston, USA, April 1983, pp. 607-610
22. Antoni J.: 'Fast computation of the kurtogram for the detection of transient faults', Mech. Syst. Signal Process., 2007, 21, (1), pp. 108-124
23. Li Y. Tse P. Wang X.: 'Recovery of vibration signal based on a super-exponential algorithm', J. Sound Vib., 2008, 311, (1-2), pp. 537-553
24. Koo J. Jung S. Ryu C.: 'Identification of insulation defects in gas-insulated switchgear by chaotic analysis of partial discharge', IET Sci. Meas. Technol., 2010, 4, (3), pp. 115-124
25. Venkatesh S. Gopal S.: 'Orthogonal least square center selection technique - a robust scheme for multiple source partial discharge pattern recognition using radial basis probabilistic neural network', Expert Syst. Appl., 2011, 38, (7), pp. 8978-8989
26. Song X. Zhou C. Hepburn D.: 'Second generation wavelet transform for data denoising in PD measurement', IEEE Trans. Dielectr. Electr. Insul., 2007, 14, (6), pp. 1531-1537
27. Zhang H. Blackburn T. Phung B.: 'A novel wavelet transform technique for on-line partial discharge measurements part 1: WT de-noising algorithm', IEEE Trans. Dielectr. Electr. Insul., 2007, 14, (1), pp. 3-14
28. Ma X. Zhou C. Kemp I.: 'Automated wavelet selection and thresholding for PD detection', IEEE Electr. Insul. Mag., 2002, 18, (2), pp. 37-45
29. Shahrtash S. Haghjoo F.: 'Instantaneous wavelet transform decomposition filter for on-line applications', Iran. J. Sci. Technol. Trans. B, Eng., 2009, 33, (B6), pp. 491-510
30. Haghjoo F. Shahrtash S.: 'Wavelet transform based decomposition and reconstruction for on-line PD detection and measurement. Part I: narrow band components decomposition', Eur. Trans. Electr. Power, 2010, 20, (7), pp. 901-914