Modeling PD inception voltage of epoxy resin post insulators using an adaptive neural network

IEEE Transactions on Dielectrics and Electrical Insulation

Volumn 6, Issue 1, 1999, Pages 131-134

  Ghosh, S ^a,b   Kishore, N K ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b RE College   (India)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ELECTRIC LOSSES; ELECTRIC POTENTIAL; ELECTRODES; EPOXY RESINS; MULTILAYER NEURAL NETWORKS; PARTIAL DISCHARGES;

INCEPTION VOLTAGE;

ELECTRIC INSULATING MATERIALS;

EID: 0033076845     PISSN: 10709878     EISSN: None     Source Type: Journal    
DOI: 10.1109/94.752021     Document Type: Article

References (6)

1. Amira A. Mazroua, R. Bartnikas and M. M. A. Salama, "Discrimination between PD Pulse Shapes using Different Neural Network Paradigms", IEEE Trans. Dielectrics EI., Vol. 1, No. 6, pp. 1119-1131, 1994.
2. E. Gulski and A. Krivda, "Neural networks as a tool for recognition of partial discharges", IEEE Trans. on EI, Vol. 28, No. 6, pp. 984-1001, 1993.
3. H. Borsi, "The Relation between Thermal and Electrical Stress and the PD Behavior of Epoxy-resin Transformers", IEEE Trans. EI, Vol. 28, No. 6, pp. 1007-1015, 1993.
4. D. E. Rumelhart and J. L. McClelland, Eds., Parallel Distributed Processing : Explorations in the Microstructure of Cognition, Vol. 1, MIT press, 1986.
5. R. Hecht-Nielsen, Neurocomputing, Addison-Wesley publishing Company, Inc., USA, 1990.
6. D. S. Chen and R. C. Jain, "A Robust Back Propagation Learning for Function Approximation", IEEE Trans. NN, Vol. 5, No. 3, pp. 467-479, 1994.