Soft computing tools for transient classification

Information sciences

Volumn 127, Issue 3, 2000, Pages 137-156

  Roverso, Davide ^a  

^a INSTITUTE FOR ENERGY TECHNOLOGY   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONS; FUZZY SETS; NUCLEAR POWER PLANTS; PROCESS CONTROL; RECURRENT NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS);

RADIAL BASIS FUNCTIONS (RBF); SOFT COMPUTING TOOLS;

FAULT TOLERANT COMPUTER SYSTEMS;

EID: 0034250121     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0020-0255(00)00035-9     Document Type: Article

References (24)

1. Hassoun M.H. Fundamentals of Artificial Neural Networks. 1995;MIT Press, Cambridge.
2. P.F. Fantoni, A. Mazzola, Multiple-failure signal validation in nuclear power plants using artificial neural networks, Nucl. Technol., March 1996.
3. P.F. Fantoni, Neuro-fuzzy models applied to full range signal validation in nuclear power plants, in: ANS International Topical Meeting on Nuclear Power Plant Instrumentation, Control and Human Machine Interface, The Pennsylvania State University, 1996.
4. P.F. Fantoni, S. Figedy, A. Racz, B. Papin, A neuro-fuzzy model applied to full range signal validation of PWR nuclear power plant data, in: Proceedings of FLINS'98.
5. Bartlett E.B., Uhrig R.E. Nuclear power plant status diagnostics using an artificial neural network. Nucl. Technol. 97:1992;272-281.
6. A. Basu, E.B. Bartlett, Detecting faults in a nuclear power plant by using a dynamic node architecture artificial neural network, Nucl. Sci. Eng. 116 (1995).
7. Y. Bartal, J. Lin, R.E. Uhrig, Nuclear power plant transient diagnostics using artificial neural networks that allow "don't-know" classifications, Nucl. Technol. 110 (1995).
8. E. Jeong, K. Furuta, S. Kondo, Identification of transient in nuclear power plant using neural network with implicit time measure, in: Proceedings of the International Topical Meeting on Computer-Based Human Support Systems: Technology, Methods, and Future, The American Nuclear Society, La Grange Park, IL, 1995, pp. 467-474.
9. E. Jeong, K. Furuta, S. Kondo, Identification of transient in nuclear power plant using adaptive template matching with neural network, in: Proceedings of the International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC&HMIT'96, The American Nuclear Society, La Grange Park, IL, 1996, pp. 243-250.
10. Ohga Y., Arita S., Fukuzaki T., Takinawa N., Takano Y., Shiratory S., Wada T. Evaluation test of event identification method using neural network at Kashiwazaki Kariwa nuclear power station unit no. 4. J. Nucl. Sci. Technol. 33(5):1996;439-447.
11. Bezdek J.C. Pattern Recognition with Fuzzy Objective Function Algorithms. 1981;Plenum Press, New York.
12. R. Krishnapuram, J. Keller, A possibilistic approach to clustering, IEEE Trans. Fuzzy Systems 1 (2) (1993).
13. Kohonen T. Self-Organization and Associative Memory. third ed. 1989;Springer, Berlin.
14. Elman J.L. Finding structure in time. Cognitive Sci. 14:1990;179-211.
15. M.C. Mozer, Induction of multiscale temporal structure, in: Moody, Hanson, Lippman (Eds.), Advances in Neural Information Processing Systems 4, Morgan Kaufmann, Los Altos, CA, 1992, pp. 349-391.
16. G. Strang, T. Nguyen, Wavelets and Filter Banks, Wellesley-Cambridge, 1996.
17. Wolpert D. Stacked generalization. Neural Networks. 5:1992;241-259.
18. Breiman L. Bagging predictors. Machine Learning. 24(2):1996;123-140.
19. Y. Freund, R.E. Shapire, Experiments with a new boosting algorithm, in: Machine Learning, Proceeding of the 13th International Conference ICML '96, Morgan Kaufmann, Bari, 1996, pp. 148-156.
20. A. Krogh, J. Vedelsby, Neural network ensembles, cross validation and active learning, in: D. Tourtzky, T. Leen (Eds.), Advances in Neural Information Processing Systems, vol. 7, MIT Press, Cambridge, MA, 1995, pp. 231-238.
21. Bengio Y., Simard P., Frasconi P. Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Networks. 5(2):1994;157-166.
22. N.T. Førdestrømmen, B.R. Moum, B. Torralba, C. Decurnex, CASH: an advanced computerized alarm system, in: Proceedings of the ANS-meeting, Philadelphia, PA, USA, 1995.
23. P. Fantoni, A. Sørenssen, G. Mayer, CAMS: a computerised accident management system for operator support during normal and abnormal conditions in nuclear power plants, in: Proceedings of the Second OECD Specialist Meeting on Operator Aids for Severe Accident Management (SAMOA-2), 1997.
24. T.S. Brendeford, General knowledge structure for diagnosis, in: Proceedings of the IAEA's specialist's Meeting on Monitoring and Diagnosis Systems to Improve Nuclear Power Plant Reliability and Safety, Barnwood, UK, 14-17 May 1996.