Application of SA-SVM incremental algorithm in GIS PD pattern recognition

Journal of Electrical Engineering and Technology

Volumn 11, Issue 1, 2016, Pages 192-199

  Tang, Ju ^a   Zhuo, Ran ^a   Wang, Di Bo ^a   Wu, Jian Rong ^a   Zhang, Xiao Xing ^a  

^a CHONGQING UNIVERSITY   (China)

Author keywords

Characteristic quantity; Partial discharge; Pattern recognition; Simulated annealing; Support vector machine

Indexed keywords

DEFECTS; ELECTRIC SWITCHGEAR; PARTIAL DISCHARGES; SIMULATED ANNEALING; SUPPORT VECTOR MACHINES;

ARTIFICIAL DEFECTS; CHARACTERISTIC QUANTITY; GAS INSULATED SWITCHGEAR(GIS); INCREMENTAL ALGORITHM; INCREMENTAL METHOD; ON-LINE RECOGNITION; PATTERN RECOGNITION TECHNOLOGIES; ULTRA-HIGH FREQUENCY;

PATTERN RECOGNITION;

EID: 85006819156     PISSN: 19750102     EISSN: 20937423     Source Type: Journal    
DOI: 10.5370/JEET.2016.11.1.192     Document Type: Article

References (20)

1. Kranz, H. -G., “Fundamentals in computer aided PD processing, PD pattern recognition and automated diagnosis in GIS”, IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 7, pp. 12-20, 2002.
2. Jian Li, Caixin Sun, “Partial Discharge Image Recognition Using a New Group of Features”, IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 13, No. 6, pp. 1245-1253, 2006.
3. Xiaoxing Zhang, Jiangbo Ren, Ju Tan, Caixin Sun, “Kernel Statistical Uncorrelated Optimum Discriminant Vectors Algorithm for GIS PD Recognition”, IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 16, No. 1, pp. 206-213, 2009
4. M. M. A. Salama, R. Bartnikas, “Determination of Neural-Network Topology for Partial Discharge Pulse Pattern Recognition”, IEEE Transactions on Networks, Vol. 13, No. 2, pp. 446-456, 2002.
5. N. C. Sahoo, M. M. A. Salama, “Trends in Partial Discharge Pattern Classification: A Survey”, IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 12, No. 2, pp. 248-264, 2005.
6. Yanbin Xie, Ju Tang, Qian Zhou, “Feature extraction and recognition of UHF partial discharge signals in GIS based on dual-tree complex wavelet transform”, European Transactions on Electrical Power, Vol. 20, pp. 639-649, 2009.
7. Jin Lijun, Zhang Mingrui, Liu Weidong, “Examination and Research on the Partial Discharge Fault Diagnostics in Gas Insulated Switchgear”, Transactions of China Electrotechnical Society, Vol. 20, No. 11, pp. 88-92, 2005
8. TANG Ju, WU Jianrong, ZHUO Ran, XIE Yanbin, “Relationship Between VHF Signals and Discharge Magnitude of Partial Discharge from Needle Plate Electrode”, High Volt age Engineering, Vol. 36, No. 5, pp. 1083-1089, 2010.
9. Kranz, H. -G., “Diagnosis of partial discharge signals using neural networks and minimum distance classification”, IEEE Transactions on Electrical Insulation, Vol. 28, pp. 1016-1024, 1993.
10. Contin A., Cavallini A., Montanari G. C., Pasini G., Puletti F., “Digital detection and fuzzy classification of partial discharge signals”, IEEE Trans. On Dielectrics and Electrical Insulation, Vol. 9, No. 2, pp. 335-348, 2002.
11. Sharkawy, R. M., Mangoubi, R.S., Abdel-Galil, T. K., Salama, M. M. A., Bartnikas, R., “SVM Classification of Contaminating Particles in Liquid Dielectrics Using Higher Order Statistics of Electrical and Acoustic PD Measurements”, IEEE Transactions on Dielectrics and Electrical Insulation Vol. 14, No. 3, pp. 669-678, 2007.
12. L. Hao, P. L. Lewin, “Partial Discharge Source Discrimination using a Support Vector Machine”, IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 17, No. 1, pp. 189-197, 2010.
13. Tang Ju, Zhou Qian, Tang Ming, Xie Yanbin, “Study on Mathematical Model for VHF Partial Discharge of Typical Insulated Defects in GIS”, IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 14, No. 1, pp. 30-38, 2007.
14. Zhang Xiaoxing, Tang Ju Peng, Wenxiong Meng, Yanhui Sun Caixin, “Study on the Outer UHF Micro-strip Patch Antenna for Partial Discharge Detection in GIS”, Chinese Journal of Scientific Instrument, Vol. 27, No. 12, pp. 1595-1599, 2006.
15. V. N. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag Inc., 1995
16. Nello Cristianini, John Shawe-Taylor, Royal Holloway, An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Cambridge University Press, Inc., Cambridge, 2000.
17. Scott Kirkpatrick, “Optimization by Simulated Annealing: Quantitative Studies”, Journal of Statistical Physics, Vol. 34, pp. 975-986, 1984.
18. Longhan Cao, Shanquan Zhou, Rui Li, Fan Wu, Tao Liu, “Application of optimizing the parameters of SVM using genetic simulated annealing algorithm”, WCICA 2008. 7th World Congress on Intelligent Control and Automation, pp. 5381-5385, 2008.
19. BAI Dong-ying, WANG Xiao-dan, MA Fei, “SVM-based Incremental Learning Method and its Application”, Aeronautical Computing Technique, Vol. 37 No. 4, pp. 23-26, 2007.
20. Joseph Vardi and Benjamin Avi-Itzhak, Electric Energy Generation; Economics, Reliability and Rates: MIT, 1981, p.75-94.