Partial discharge identification system for highvoltage power transformers using fractal featurebased extension method

IET Science, Measurement and Technology

Volumn 7, Issue 2, 2013, Pages 77-84

  Chen, Hung Cheng ^a  

^a NATIONAL CHIN YI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION DEGREE; FEATURES EXTRACTION; HIGH-VOLTAGE POWER TRANSFORMERS; INSULATION DIAGNOSIS; MATTER-ELEMENT MODEL; NOISE INTERFERENCE; PARTIAL DISCHARGE IDENTIFICATIONS; PATTERN IDENTIFICATION;

DEFECTS; EPOXY RESINS; FRACTAL DIMENSION; MULTILAYER NEURAL NETWORKS; POWER TRANSFORMERS; RESINS; THREE DIMENSIONAL;

PARTIAL DISCHARGES;

EID: 84880384762     PISSN: 17518822     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-smt.2012.0078     Document Type: Article

References (21)

1. Evagorou, D., Kyprianou, A., Lewin, P.L., Stavrou, A., Metaxas, A.C., Georghiou, G.E.: 'Feature extraction of partial discharge signals using the wavelet packet transform and classification with a probabilistic neural network', IET Sci. Meas. Technol., 2010, 4, (3), pp. 177-192
2. Feinberg, R.: 'Modern power transformer practice' (Wiley, 1979, 1st edn.)
3. Florkowska, B., Florkowski, M., Roehrich, J., Zydron, P.: 'Partial discharge mechanism in a non-uniform electric field at higher pressure', IET Sci. Meas. Technol., 2011, 5, (2), pp. 59-66
4. Liao, R.J., Yang, L.J., Li, J., Grzybowski, S.: 'Aging condition assessment of transformer oil-paper insulation model based on partial discharge analysis', IEEE Trans. Dielectr. Electr. Insul., 2011, 18, (1), pp. 303-311
5. Li, J., Liao, R., Grzybowski, S., Yang, L.: 'Oil-paper aging evaluation by fuzzy clustering and factor analysis to statistical parameters of partial discharges', IEEE Trans. Dielectr. Electr. Insul., 2010, 17, (3), pp. 756-763
6. Fard, M.A., Akbari, A., Shojaee, R., Mirzaei, H.R., Naderi, P.: 'Partial discharge defects classification using neuro-fuzzy inference system'. Proc. Int. Conf. Solid Dielectrics, Potsdam, Germany, July 2010, pp. 1-4
7. Boczar, T., Borucki, S., Cichon, A., Zmarzly, D.: 'Application possibilities of artificial neural networks for recognizing partial discharges measured by the acoustic emission method', IEEE Trans. Dielectr. Electr. Insul., 2009, 16, (1), pp. 214-223
8. Evagorou, D., Kyprianou, A., Lewin, P.L., et al.: 'Feature extraction of partial discharge signals using the wavelet packet transform and classification with a probabilistic neural network', IET Sci. Meas. Technol., 2010, 4, (3), pp. 177-192
9. Kim, J.T., Choi, W., Oh, S.K., Park, K.J., Grzybowski, S.: 'Partial discharge pattern recognition using fuzzy-neural networks (FNNs) algorithm'. Proc. Int. Conf. Power Modulators and High Voltage, Las Vegas, Nevada, May 2008, pp. 272-275
10. Hu, Q.W., Liang, Z., Wu, L., et al.: 'Application of GA-BP neural network on partial discharge of pattern recognition in GIS'. Proc. Int. Conf. Electric Power Equipment - Switching Technology, Xi'an, China, October 2011, pp. 513-516
11. Cai, W.: 'The extension set and incompatibility problem', J. Sci. Explor., 1983, 1, pp. 81-93
12. Cai,W.: 'Extension theory and its application', J. Sci. Explor., 1999, 44, (7), pp. 673-682
13. Voss, R.F.: 'Random fractal: Characterization and measurement' (Plenum Press, 1985, 1st edn.)
14. Mandelbrot, B.B.: 'The fractal geometry of nature' (Freeman Press, 1983, 1st edn.)
15. Satish, L., Zaeng, W.S.: 'Can fractal features be used for recognizing 3-D partial discharge patterns', IEEE Trans. Dielectr. Electr. Insul., 1995, 2, pp. 352-359
16. Li, J., Sun, C., Grzybowski, S.: 'Partial discharge image recognition influenced by fractal image compression', IEEE Trans. Dielectr. Electr. Insul., 2008, 15, (2), pp. 496-504
17. Chen, S.S., Keller, J.M., Crownover, R.M.: 'On the calculation of fractal features from Images', IEEE Trans. Pattern Anal. Mach. Intell., 1983, 15, () pp. 1087-1090
18. Gouyet, J.F.: 'Physics and fractal structures' (Masson Springer, 1996, 1st edn.)
19. IEC 60270: 'High-voltage test techniques-partial discharge measurements', 2001
20. Wang, M.H., Ho, C.: 'Application of extension theory to PD pattern recognition in high-voltage current transformers', IEEE Trans. Power Deliv., 2005, 20, (3), pp. 1939-1946
21. Chen, H.C., Gu, F.C., Lee, C.Y.: 'A new method based on extension theory for partial discharge pattern recognition', WSEAS Trans. Syst., 2008, 7, (12), pp. 1402-1411