Knowledge discovery in neural networks with application to transformer failure diagnosis

IEEE Transactions on Power Systems

Volumn 20, Issue 2, 2005, Pages 717-724

  Castro, Adriana Rosa Garcez ^a,b   Miranda, Vladimiro ^a,c  

^a UNIVERSITY OF PORTO   (Portugal)

^b FEDERAL UNIVERSITY OF PARÁ   (Brazil)

^c UNIVERSITY OF PORTO   (Portugal)

Author keywords

Fault diagnosis; Fuzzy logic; Neural networks

Indexed keywords

ELECTRIC TRANSFORMERS; FAILURE ANALYSIS; FUZZY SETS; INFERENCE ENGINES; KNOWLEDGE BASED SYSTEMS;

FUZZY INFERENCE SYSTEM; KNOWLEDGE DISCOVERY; TRANSFORMER FAILURE DIAGNOSIS;

NEURAL NETWORKS;

EID: 18944372430     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2005.846074     Document Type: Article

References (20)

1. IEEE Guide of Gases Generated in Oil-Immersed Transformer, IEEE Power Engineering Society, 1992.
2. Interpretation of the Analysis of Gases in Transformers and Other Oil- Filled Electrical Equipment in Service, Mar. 1999.
3. K. Tomsovic, M. Tapper, and T. Ingvarsson, "A fuzzy information approach to integrating different transformer diagnostic methods," IEEE Trans. Power Del., vol. 8, no. 3, pp. 1638-1644, Jul. 1993.
4. Y. -C. Huang, "Evolving neural nets for fault diagnosis of power transformer," IEEE Trans. Power Del., vol. 18, no. 3, pp. 843-848, Jul. 2003.
5. Y. Zhang, X. Ding, Y. Liu, and P. J. Griffin, "An artificial neural approach to transformer fault diagnosis," IEEE Trans. Power Del., vol. 11, no. 4, pp. 1836-1841, Oct. 1996.
6. A. Castro and V. Miranda, "Mapping neural networks into rule sets and making their hidden knowledge explicit - application to spatial load forecasting," in Proc. PSCCO2 - 14th Power Systems Computation Conf., Sevilla, Spain, Jun. 2002.
7. K. Hornik, M. Stincchcombe, and H. White, "Multilayer feedforward networks are universal approximators," Neural Network, vol. 2, pp. 359-366, 1989.
8. R. Andrews, J. Diederich, and A. B. Tickle, "A survey and critique of techniques for extracting rules from trained artificial neural networks," Knowledge-Based Syst., vol. 8, no. 6, pp. 373-389, 1995.
9. C. MacMillan, M. C. Mozer, and P. Smolensky, "The connectionist scientist game: rule extraction and refinement in a neural network," in Proc. 13th Annu. Conf. Cognitive Science Society, Hillsdale, NJ, 1991.
10. R. Andrews and S. Geva, "Rule extraction from a constrained error back- propagation MLP," in Proc. 5th Australian Conf. Neural Networks, Brisbane, Qld., Australia, 1994, pp. 9-12.
11. R. Setiono, "Extracting M-of-N rules from trained neural networks," IEEE Trans. Neural Netw., vol. 11, no. 2, pp. 512-519, Mar. 2000.
12. R. Setiono, W. K. Leow, and J. M. Zurada, "Extraction of rules from artificial neural networks for nonlinear regression," IEEE Trans. Neural Netw., vol. 13, no. 3, pp. 564-577, May 2002.
13. K. Saito and R. Nakano, "Medical diagnostic expert system based on PDP model," in Proc. IEEE Int. Conf. Neural Networks, vol. 1, San Diego, CA, 1988, pp. 255-262.
14. S. Thrun, "Extracting rules from artificial neural networks with distributed representations," in Advances in Neural Information Processing Systems 7, G. Tesauro, D. S. Touretzky, and T. Leen, Eds. Cambridge, MA: MIT Press, 1995.
15. G. P. J. Schmitz et al., "ANN-DT: an algorithm for extraction of decision trees from artificial neural networks," IEEE Trans. Neural Netw., vol. 10, no. 6, pp. 1392-1401, Nov. 1999.
16. Z. -H. Zhou et al., "Extracting symbolic rules from trained neural networks ensembles," AI Commun., vol. 16, no. 1, pp. 3-5, 2003.
17. J. M. Benitez, J. L. Castro, and I. Requena, "Are artificial neural networks black boxes?," IEEE Trans. Neural Netw., vol. 8, no. 5, pp. 1156-1164, Sept. 1997.
18. L.-X. Wang, A Course in Fuzzy Systems and Control. Englewood Cliffs, NJ: Prentice-Hall, 1997.
19. A. Riid and E. Rustern, "Transparent fuzzy systems and modeling with transparency protection," in Proc. IFAC Symp. Artificial Intelligence in Real Time Control, Oct. 2000, pp. 229-235.
20. M. Duval and A. Pablo, "Interpretation of gas-in-oil analysis using new IEC publication 60 599 and IEC TC10 databases," IEEE Elect. Insul. Mag., vol. 17, no. 2, pp. 31-41, Mar./Apr. 2001.