GIS partial discharge pattern recognition based on the chaos theory

IEEE Transactions on Dielectrics and Electrical Insulation

Volumn 21, Issue 2, 2014, Pages 783-790

  Zhang, Xiaoxing ^a   Xiao, Song ^a   Shu, Na ^a   Tang, Ju ^a   Li, Wei ^b  

^a CHONGQING UNIVERSITY   (China)

^b Xinjiang Electric Power Company   (China)

Author keywords

Dempster Shafer evidence theory; feature extraction; gas insulated switchgear; Partial discharge; pattern recognition

Indexed keywords

CHAOS THEORY; ELECTRIC CORONA; ELECTRIC INSULATION TESTING; ELECTRIC SWITCHGEAR; FEATURE EXTRACTION; MODELS; PATTERN RECOGNITION;

CHAOTIC CHARACTERISTICS; COMPLEMENTARY PROPERTY; DEMPSTER SHAFER EVIDENCE THEORY; GAS INSULATED SWITCHGEARS; LARGEST LYAPUNOV EXPONENT; PARTIAL DISCHARGE PATTERN RECOGNITION; RECOGNITION ABILITIES; STATISTICAL CHARACTERISTICS;

PARTIAL DISCHARGES;

EID: 84898681868     PISSN: 10709878     EISSN: None     Source Type: Journal    
DOI: 10.1109/TDEI.2013.004020     Document Type: Article

References (23)

1. M. D. Judd, O. Farish, and B. F. Hampton, "The excitation of UHF signals by partial discharges in GIS", IEEE Trans. Dielectr. Electr. Insul, Vol. 3, No.2, pp. 213-228, 1996. (Pubitemid 126777763)
2. J. S. Pearson, B. E. Hampton and A. G. Sellars, "A continuous UHF monitor for gas-insulated substations", IEEE Trans. Electr. Insul, Vol. 26, No. 3, pp. 469-478, 1991. (Pubitemid 21690730)
3. X. Zhang, J. Ren, J. Tang and C. Sun, "Kernel statistical uncorrelated optimum discriminant vectors algorithm for GIS PD recognition," IEEE Trans. Dielectr. Electr. Insul., Vol. 16, pp. 206-213, 2009.
4. L.Satish and W. S. Zaengl, "Can fractal features be used for recognizing 3-D partial discharge patterns?" IEEE Trans. Electr. Insul, Vol. 2, pp. 352-359, 1995.
5. E.Gulski,"Discharge Pattern Recognition in High Voltage Equipment," IEE Proc.Sci., Meas & Technol, Vol. 142,pp. 51-61, 1995.
6. A. Cavallini, G.C. Montanari, A. Contin and F. Pulletti, "A new approach to the diagnosis of soild insulation systems based on PD signal inference," IEEE Electr. Insul. Mag., Vol.19, No.2, pp. 23-30, 2003.
7. Y. Lim and J. Koo, "Chaotic Analysis of Partial Discharge (CAPD) as a Novel Approach to Investigate Insulation Degradation Caused by the Various Defects", IEEE Int'l. Sympos. Industrial Electronics, Pusan Korea, pp. 413-416, 2001. (Pubitemid 32825035)
8. Y. Lim and J. Koo, "Chaotic Analysis of Partial Discharge (CAPD) A novel Approach to Identify the Nature of PD Source", IEEE Conf. Electr. Insul. Dielectr. Phenomena, pp. 324-328, 2001. (Pubitemid 33068500)
9. A. Y.-S. Chia and D. Rajan, "Object Recognition by Discriminative Combinations of Line Segments, Ellipses,and Appearance Features," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 34, pp. 1758-1771, 2012.
10. S. Zheng, "Study on Degradation Assessment of Oil-Paper Insulation and feature extracting of Partial Discharge of Transformer Based on Chaos Theory"[D], Chongqing China: Chongqing University, China, 2010. (in Chinese)
11. W. Boeck, "Diagnostic Methods for GIS Insulating Systems," CIGRE, Paris, 15/23-01, pp. 151-182, 1992.
12. F. Takens, "Detecting strange attractors in turbulence". In D. A. Rand and L.-S. Young, Dynamical Systems and Turbulence, Lecture Notes in Mathematics, Vol. 898. Springer-Verlag. pp. 366-381, 1981.
13. M. Hirsch, S. Smale and R. L. Devaney, Differential Equations, Dynamical Systems, and an Introduction to Chaos," Elsevier Academic Press, 2003.
14. P. Grassberger and I. Procaccia, "Measuring the strangeness of strange attractors," Physica D, Vol. 9, pp. 189-208, 1983.
15. C. Grebogi, E. Ott and J. A. Yorke, "Final state sensitivity an obstruction to predictability," Phys. Lett. A, Vol. 99, pp. 415-419, 1983.
16. A. Wolf, J. B. Swift, H. L. Swinney and J. A. Vastano, "Determining Lyapunov exponents from a time series," Physica D, Vol. 16, pp. 285-317, 1985.
17. C.-W. Hsu and C.-J. Lin, "A comparison of methods for multiclass support vector machines", IEEE Trans. Neur. Netw, Vol. 13, No. 2, pp. 415-425, 2002. (Pubitemid 34475042)
18. L. Hao and P. L. Lewin, "Partial discharge source discrimination using a support vector machine", IEEE Trans. Dielectr. Electr. Insul, Vol. 17, No.1, pp. 189-197, 2010.
19. V. Vapnik, The Nature of Statistical Learning Theory, New York, Springer-Verlag," pp.138-146, 1995.
20. X. Zhang, Y. Yao and J. Tang, "Partial discharge pattern recognition based on optimal uncorrelated discriminant vectors in GIS," European Trans. Electr. Power, Vol. 19, pp. 1098-1108, 2009.
21. G.A., Mathematical Theory of Evidence, Princeton University Press, 1976?
22. G. Wahba, Support Vector Machines, Reproducing Kernel Hilbert Spaces and the Randomized GACV[A]. Advances in Kernel Methods Support Vector Learning, Massachusetts: MIT press, pp. 69-88, 1999.
23. D.L. Hall, Mathematical Techniques in Multisensor Data Fusion, Boston: Artech House, 1992.