Investigation of multi-wavelet denoising in partial discharge detection

WSEAS Transactions on Circuits and Systems

Volumn 5, Issue 1, 2006, Pages 85-91

  Qian, Yong ^a   Huang, Cheng Jun ^a   Jiang, Xiu Chen ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Denoising; Multi wavelet; Partial discharge; Vector threshold; Wavelet

Indexed keywords

COMPUTER SIMULATION; PARTIAL DISCHARGES; PULSE CIRCUITS; SIGNAL DETECTION; SIGNAL PROCESSING; SPURIOUS SIGNAL NOISE; WAVELET TRANSFORMS;

MULTI-WAVELET DENOISING; PARTIAL DISCHARGE (PD) PULSES; PARTIAL DISCHARGE DETECTION; VECTOR THRESHOLD;

ELECTRIC SIGNAL SYSTEMS;

EID: 29844437035     PISSN: 11092734     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. Huang chengjun, Study of partial discharge on-Line monitoring system for large tubrine generators based on wavelet analysis, Shanghai: Shanghai Jiaotong University,2000.
2. Ma, X., C. Zhou, and I.J. Kemp, Automated wavelet selection and thresholding for PD detection, IEEE Electrical Insulation Magazine, Vol.18,No.2,2002,pp.37-47.
3. Xu Jian,Huang Chengjun, Shao Zhenyu et al, Research on a wavelet-based algorithm for extracting PD cluster of diversiform features, Automation of Electric Power Systems, Vol.28, No.16, 2004,pp.36-40.
4. Strela, V., et al., The application of multi-wavelet filterbanks to image processing, Image Processing, IEEE Transactions on,Vol.8,No.4, 1999,pp.548-563.
5. Bui, T.D. and G. Chen, Translation-invariant denoising using multi-wavelets, IEEE Transactions on Signal Processing, Vol.46, No.12,1998,pp. 3414-3420.
6. Xia, X.-G., et al., Design of prefilters for discrete multi-wavelet transforms. Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on],Vol.44,No.1, 1996,pp.25-35.
7. Geronimo, J.S., D.P. Hardin, and P.R. Massopust, GHM Fractal functions and wavelet expansions based on several functions, J. Approx. Theory, Vol., No.78, 1994, pp.373-401.
8. Chui, C.K. and J.-a. Lian, Study of orthonormal multi-wavelets, Applied Numerical Mathematics, Vol.20,No.3,1996,pp.273-298.
9. Shen, L., H.H. Tan, and J.Y. Tham, Symmetric -antisymmetric orthonormal multi-wavelets and related scalar wavelets,Applied and Computational Harmonic Analysis, Vol.8, No.3, 2000,pp.258-279.
10. Xia, X.-G., A new prefilter design for discrete multi-wavelet transforms. Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on],Vol.46, No.6,1998, pp.1558-1570.
11. Lebrun, J. and M. Vetterli, High-order balanced multi-wavelets: theory, factorization, and design. Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol.49,No.9, 2001, pp.1918-1930.
12. Downie, T.R. and B.W. Silverman, The Discrete Multiple Wavelet Transform and Thresholding Methods,IEEE Transactions on signal processing, Vol.46,No.9, 1998, pp.2558-2561.
13. Bala, E. and A. Ertuzun, Applications of multi-wavelet techniques to image denoising, 2002 International Conference on Image Processing,2002.
14. V. Strela and A. T. Walden, Signal and Image Denoising via Wavelet Thresholding: Orthogonal and Biorthogonal, Scalar and Multiple Wavelet Transforms, Imperial College, Statistics Section, Technical Report TR-98-01, 1998.
15. Hsung, T.-C. and D.P.-K. Lun, Generalized cross validation for multi-wavelet shrinkage. Signal Processing Letters, IEEE, Vol.11, No.6, 2004, pp.549-552.
16. Hsung, T.-C., D.P.-K. Lun, and K.C. Ho, Optimizing the multi-wavelet shrinkage denoising, IEEE Transactions on Signal Processing, Vol.53, No.1,2005,pp.240-251.
17. Chen, G.Y. and T.D. Bui, Multi-wavelets denoising using neighboring coefficients. Signal Processing Letters, IEEE, Vol.10,No.7, 2003, pp.211-214.
18. Huang Chengjun,Yu Weiyong. Study of adaptive filter algorithm based on wavelet analysis in suppressing PD's periodic narrow bandwidth noise, Proceedings of the CSEE, Vol.23,No.1, 2003,pp.107-111.