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An Advanced Time-Frequency Domain Method for PD Extraction with Non-Intrusive Measurement

Authors: Guomin Luo, Daming Zhang, Yong Kwee Koh, Kim Teck Ng, Helmi Kurniawan, Weng Hoe Leong


Partial discharge (PD) detection is an important method to evaluate the insulation condition of metal-clad apparatus. Non-intrusive sensors which are easy to install and have no interruptions on operation are preferred in onsite PD detection. However, it often lacks of accuracy due to the interferences in PD signals. In this paper a novel PD extraction method that uses frequency analysis and entropy based time-frequency (TF) analysis is introduced. The repetitive pulses from convertor are first removed via frequency analysis. Then, the relative entropy and relative peak-frequency of each pulse (i.e. time-indexed vector TF spectrum) are calculated and all pulses with similar parameters are grouped. According to the characteristics of non-intrusive sensor and the frequency distribution of PDs, the pulses of PD and interferences are separated. Finally the PD signal and interferences are recovered via inverse TF transform. The de-noised result of noisy PD data demonstrates that the combination of frequency and time-frequency techniques can discriminate PDs from interferences with various frequency distributions.

Keywords: Entropy, Time-Frequency Analysis, Fourier Analysis, partial discharge, non-intrusive measurement

Digital Object Identifier (DOI):

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[1] M. D. Judd, O. Farish, J. S. Pearson and B. F. Hampton, "Dielectric windows for UHF partial discharge detection," IEEE Trans. Dielectrics and Electrical Insulation, vol. 8, pp. 953-958, 2001.
[2] P. Brown, "Nonintrusive partial discharge measurements on high voltage switchgear," in IEE Colloquium on Monitors and Condition Assessment Equipment (Digest No. 1996/186), 1996, pp. 10/1-10/5.
[3] Y. Li, Y. Wang, G. Lu, J. Wang, and J. Xiong, "Simulation of transient earth voltages aroused by partial discharge in switchgears," in 2010 Int. Conf. High Voltage Engineering and Application (ICHVE), 2010, pp. 309-312.
[4] R. Bartnikas, "Partial discharges. Their mechanism, detection and measurement," IEEE Trans. Dielectrics and Electrical Insulation, vol. 9, pp. 763-808, 2002.
[5] C. Caironi, D. Brie, L. Durantay and A. Rezzoug, "Interest and utility of time frequency and time scale transforms in the partial discharges analysis," in Conf. Record of the 2002 IEEE Int. Symp. Electrical Insulation, 2002, 2002, pp. 516-522.
[6] Y. H. M. Thayoob, Z. Zakaria, M. R. Samsudin, P. S. Ghosh, and M. L. Chai, "Preprocessing of acoustic emission signals from partial discharge in oil-pressboard insulation system," in 2010 IEEE Int. Conf. Power and Energy (PECon), 2010, pp. 29-34.
[7] K. L. Wong, "Electromagnetic emission based monitoring technique for polymer ZnO surge arresters," IEEE Trans. Dielectrics and Electrical Insulation, vol. 13, pp. 181-190, 2006.
[8] A. Cavallini, A. Contin, G. C. Montanari and F. Puletti, "Advanced PD inference in on-field measurements. Part I: Noise rejection," IEEE Trans. Dielectrics and Electrical Insulation, vol. 10, pp. 216-224, Apr 2003.
[9] H. Zhang, T. R. Blackburn, B. T. Phung and D. Sen, "A novel wavelet transform technique for on-line partial discharge measurements. Part 1: WT de-noising algorithm," IEEE Trans. Dielectrics and Electrical Insulation, vol. 14, pp. 3-14, Feb 2007.
[10] BSI, "High-Voltage Test Techniques - Partial Discharge Measurements," in IEC 60270, ed. London: European Committee for Electrotechnical Standardization, 2001, p. 7.
[11] S. G. Mallat, "Time Meets Frequency," in A Wavelet Tour of Signal Processing : The Sparse Way, Sparse ed Amsterdam ; Boston: Elsevier /Academic Press, 2009, pp. 89-150.
[12] D. L. Donoho and I. M. Johnstone, "Ideal spatial adaptation by wavelet shrinkage," Biometrika, vol. 81, pp. 425-455, Sep 1994.
[13] M. Misiti, Y. Misiti, G. Oppenheim and J.-M. Poggi. (1996). Wavelet Toolbox for Use with MATLAB: User's Guide (1st ed.).
[14] S. Verd├║, S. W. McLaughlin and IEEE Information Theory Society., "Fifty Years of Shannon Theory," in Information theory 50 years of discovery, ed New York: IEEE Press, 2000.