Neuro-fuzzy model applied to full range signal validation of PWR nuclear power plant data

International Journal of General Systems

Volumn 29, Issue 2, 2000, Pages 305-320

  Fantoni, P F ^a  

^a OECD HALDEN REACTOR PROJECT   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FUZZY SETS; MATHEMATICAL MODELS; MONITORING; NEURAL NETWORKS; NUCLEAR POWER PLANTS; ONLINE SYSTEMS; PATTERN MATCHING; PRESSURIZED WATER REACTORS; REAL TIME SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); SENSORS;

NEURO-FUZZY MODELS; REAL-TIME PROCESS SIGNAL VALIDATION;

FUZZY CONTROL;

EID: 0033686502     PISSN: 03081079     EISSN: None     Source Type: Journal    
DOI: 10.1080/03081070008960935     Document Type: Article

References (7)

1. P.F. Fantoni (1996), "Neuro-Fuzzy models applied to full range signal validation in NPP". In: Nucl. Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC & HMIT'96, edited by the American Nuclear Society, La Grange Park, pp. 265-272.
2. P.F. Fantoni, S. Figedy and A. Racz (1998), "PEANO, A toolbox for real-time process signal validation and estimation". OECD Halden Reactor Project Report HWR-515.
3. J.C. Bezdek (1981), Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York.
4. D.E. Gustafson and W.C. Kessel (1979), "Fuzzy Clustering with a fuzzy covariance matrix". Proc. IEEE CDC, San Diego, CA, January 10-12.
5. R. Krishnapuram and J. Keller (1993), "A possibilistic approach to clustering". IEEE Transactions on Fuzzy Systems, 1(2), 98-100.
6. J.T. Tou and R.C. Gonzalez (1974), Pattern Recognition Principles, Addison-Wesley Publishing Company, Reading, MA.
7. P.F. Fantoni and A. Mazzola (1995), Accuracy Estimate of Artificial Neural Networks Based Models for Industrial Applications, Editions Technip, Paris.