Kernel statistical uncorrelated optimum discriminant vectors algorithm for GIS PD recognition

IEEE Transactions on Dielectrics and Electrical Insulation

Volumn 16, Issue 1, 2009, Pages 206-213

  Zhang, Xiaoxing ^a   Ren, Jiangbo ^a   Tang, Ju ^a   Sun, Caixin ^a  

^a CHONGQING UNIVERSITY   (China)

Author keywords

Fisher discriminant analysis; Gas insulated switchgear (GIS); Kernel; Partial discharge (PD); Pattern recognition

Indexed keywords

ALGORITHMS; DEFECTS; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; FISHER INFORMATION MATRIX; GEOGRAPHIC INFORMATION SYSTEMS; PARTIAL DISCHARGES;

3-DIMENSIONAL; DISCRIMINANT VECTORS; FAULT DIAGNOSIS; FISHER DISCRIMINANT ANALYSIS; GAS INSULATED SWITCHGEAR (GIS); HIGH-DIMENSIONAL FEATURE SPACES; KERNEL; KERNEL METHODS; NON-LINEAR FEATURES; PD PATTERNS; SAMPLE FEATURES; SAMPLING SYSTEMS; SINGLE DEFECTS; STATISTICAL CORRELATIONS; VERY-HIGH FREQUENCIES;

INSULATING MATERIALS;

EID: 61349132161     PISSN: 10709878     EISSN: None     Source Type: Journal    
DOI: 10.1109/TDEI.2009.4784569     Document Type: Article

References (31)

1. T. Huecker and J. Gorablenkow, "UHF Partial Discharge Monitoring and Expert System Diagnosis", IEEE Trans. Power Delivery, Vol. 13, pp. 1162-1167, 1998.
2. R. Baumgartner, B. Reuth, W. Lanz and K. petterson, "Partial Discharge-Part IX: PD in Gas-insulated Substations-Fundamental Considerations", IEEE Electr. Insul. Mag., Vol. 7, No. 6, pp. 5-13, 1997.
3. C. Chang, CS. Chang, J. Jin, T. Hoshino, M. Hanai and N. Kobayashi, "Source Classification of Partial Discharge for Gas Insulated Substation using Waveshape Pattern Recognition", IEEE Trans. Dielect. Elect. Insul., Vol. 12, pp. 374-386, 2005.
4. M. D. Judd, O. Farish, and B. F. Hampton, "Excitation of UHF Signals by Partial Discharge in GIS", IEEE Trans. Dielect. Elect. Insul., Vol. 3, pp. 213-228, 1996.
5. Q. Zhou, J. Tang, M. Tang, Y. Xie. "Study on Mathematical Model for VHF Partial Discharge of Typical Insulated Defects in GIS", IEEE Trans. Dielect. Elect. Insul., Vol. 14, pp. 30-38, 2007.
6. N.C. Sahoo, M.M.A. Salama and R. Bartnikas, "Trends in Partial Discharge Pattern Classification: a Survey", IEEE Trans. Dielectr. Electr. Insul., Vol. 12, pp. 248-264, 2005.
7. H.-G. Kranz, and R. Krump, "Partial Discharge Diagnosis using Statistical Optimization on a PC-based System". IEEE Trans. Electr. Insul., Vol.27, pp.93-98, 1992.
8. R. Candela, G. Mirelli and R. Schifani, "PD Recognition by Means of Statistical and Fractal Parameters and a Neural Network", IEEE Trans. Dielectr. Electr. Insul., Vol. 7, pp. 87-94, 2000.
9. M. M. A. Salama and R. Bartnikas, "Fuzzy Logic Applied to PD Pattern Classification", IEEE Trans. Dielectr. Electr. Insul., Vol. 7, pp. 118-123, 2000.
10. J. Li, C. Sun, S. Grzybowski. "Partial Discharge Image Recognition Influenced by Fractal Image Compression", IEEE Trans. Dielectr. Electr. Insul., Vol. 15, pp. 496-504, 2007.
11. E. M. Lalitha and L. Satish, "Fractal Image Compression for Classification of PD Sources", IEEE Trans. Dielectr. Electr. Insul., Vol. 5, pp. 550-557, 1998.
12. th Intern. Conf. Properties Applications Dielectr. Materials (ICPADM), Xi'an, China, pp.290-293, 2000.
13. T. Hucker and H.-G. Kranz, "Requirements of Automated PD Diagnosis Systems for Fault Identification in Noisy Conditions", IEEE Trans. Dielectr. Electr. Insul., Vol. 2, pp. 544-556, 1995.
14. J.-K. Jang, S.-H. Kim, Y.-S. Lee and J.-H. Kim, "Classification of Partial Discharge Electrical Signals Using Wavelet Transforms", IEEE 13th Intern. Conf. Dielectr. Liquids, Nara, Japan, pp. 552-555, 1999.
15. W. Ziomek, M. Reformat and E. Kuffel, "Application of Genetic Algorithms to Pattern Recognition of Defects in GIS", IEEE Trans. Dielectr. Electr. Insul., Vol. 7, pp. 161-168, 2000.
16. B. Karthikeyan, S. Gopal and S. Venkatesh, "ART 2-an unsupervised neural network for PD pattern recognition and classification", Expert Systems with Applications, Vol.31, pp. 345-350, 2006.
17. L. Satish and W. S. Zaengl, "Artificial Neural Networks for Recognition of 3-d Partial Discharge Patterns", IEEE Trans. Dielectr. Electr. Insul., Vol. 1, pp.265-275, 1994.
18. A. Contin, A. Cavallini, G. C. Montanari and G. Pasini, "Digital Detection and Fuzzy Classification of Partial Discharge Signals", IEEE Trans. Dielectr. Electr. Insul., Vol. 9, pp. 335-348, 2002.
19. D.H. Foley and J.W. Sammon, "An optimal set of discriminant vectors", IEEE Trans. Computers, Vol. 24, pp.281-289, 1975.
20. J. Duchene and S. Leclercq, "An optimal transformation for discriminant and principal component analysis", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.10, pp. 978-983, 1988.
21. Z. Jin, J. Yang, Z. Tang and Z. Hu, "A theorem on the uncorrelated optimal discriminant vectors", Pattern Recognition, Vol. 34, pp.2041-2047, 2001.
22. Z. Jin, J. Yang, Z. Hu and Z. Lou. "Face recognition based on the uncorrelated discriminant Transformation. Pattern Recognition", Vol. 34, pp.1405-1416, 2001.
23. X. Wu, J. Yang, S. Wang, J. Kittler and J. Lu, "An Improved Optimal Set of Statistical Uncorrelated Discriminant Vectors". Chinese J. Electronics Information Techn., Vol.27, pp. 47-50, 2005 (in Chinese).
24. X. Zhang, C. Sun, J. Tang, Z. Xu and Q. Zhou. "PD Pattern Recognition Based On Optimal Set of Statistical Uncorrelated Discriminant Vectors In GIS", Automation Electric Power Syst., Vol. 30, pp. 42-45, 2006 (in Chinese).
25. V. Vapnik, The Nature of Statistical Learning Theory. New York: Springer, 1995.
26. S. Mika, G. Ratsch, J. Weston, B. Scholkopf, and K.-R. Muller, "Fisher Discriminant Analysis with Kernels", IEEE Intern. Workshop Neural Networks Signal Processing IX, New York, USA, pp. 41-48, 1999.
27. S. Mika, G. Ratsch, J Weston, B. Scholkopf, A. Smola, and K.-R. Muller, "Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces", IEEE Trans. Pattern Analysis Machine Intelligence, Vol. 25, pp. 623-628, 2003.
28. V. Roth and V. Steinhage, "Nonlinear Discriminant Analysis Using Kernel Functions", in Advances in Neural Information Processing Systems, S.A. Solla, T.K. Leen, and K.-R. Mueller, eds., Vol. 12, pp. 568-574, MIT Press, 2000.
29. J. Yang, A. F. Frangi, J.-Y. Yang and D. Zhang, "KPCA Plus LDA: A Complete Kernel Fisher Discriminant Framework for Feature Extraction and Recognition", IEEE Trans. Pattern Analysis Machine Intelligence, Vol. 27, pp. 230-244, 2005.
30. T.M Cover and J. A Thomas, Elements of Information Theory. New York: Wiley, 1995.
31. nd Intern. Conf. Insul. Condition Monitoring of Electrical Plants, pp. 190-194, 2003.