Signal validation using an adaptive neural fuzzy inference system

Nuclear Technology

Volumn 119, Issue 2, 1997, Pages 181-193

  Hines, J Wesley ^a,b,c,d   Wrest, Darryl J ^a,e,f,g,h   Uhrig, Robert E ^a,d,i,j,k,l  

^a University of Tennessee Knoxville   (United States)

^b OHIO UNIVERSITY   (United States)

^c OHIO STATE UNIVERSITY   (United States)

^d UNIVERSITY OF TENNESSEE   (United States)

^e UNIVERSITY OF MISSOURI   (United States)

^f MISSOURI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (United States)

^g UNIVERSITY OF TENNESSEE   (United States)

^h HONEYWELL TECHNOLOGY CENTER   (United States)

ⁱ UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^j IOWA STATE UNIVERSITY   (United States)

^k OAK RIDGE NATIONAL LABORATORY   (United States)

^l ORNL Distinguished Scientist Program

more..

Author keywords

Condition based maintenance; Fuzzy logic; Instrument monitoring

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; DECISION THEORY; FUZZY CONTROL; FUZZY SETS; GENETIC ALGORITHMS; INFERENCE ENGINES; NEURAL NETWORKS; NUCLEAR REACTORS; PROCESS CONTROL; SENSOR DATA FUSION; SEQUENTIAL MACHINES; STATISTICAL MECHANICS;

ADAPTIVE NEURAL FUZZY INFERENCE SYSTEMS; REACTOR CONTROL;

NUCLEAR POWER PLANTS;

EID: 0031198473     PISSN: 00295450     EISSN: None     Source Type: Journal    
DOI: 10.13182/NT97-A35385     Document Type: Article

References (23)

1. J. S. JANG, "ANFIS: Adaptive-Network-Based Fuzzy Inference Systems," IEEE Trans. Syst. Man, Cybern., 23, 3, 665 (1993).
2. C. L. BLACK, J. W. HINES, and R. E. UHRIG, "Inferential Neural Networks for Nuclear Power Plant-Sensor Channel Drift Monitoring," Proc. Int. Topl. Mtg. Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, University Park, Pennsylvania, May 6-9, 1996, Vol. 2, p. 927, American Nuclear Society (1996).
3. B. R. UPADHYAYA, F. P. WOLVARRDT, and O. GLOCKLER, "An Integrated Approach for Sensor Failure Detection in Dynamic Systems," NE-MCEC-BRU-87-01, Measurement and Control Engineering Center (1987).
4. M. Q. KRAMER, "Autoassociative Neural Networks," Comput. Chem. Eng., 16, 4, 313 (1992).
5. D. DONG and T. J. MCAVOY, "Sensor Data Analysis Using Autoassociative Neural Nets," Proc. World Congress on Neural Networks, San Diego, California, June 5-9, 1994, Vol. 1, p. 161.
6. J. W. HINES, D. J. WREST, and R. E. UHRIG, "Plant Wide Sensor Calibration Monitoring," Proc. Int. Symp. Intelligent Control, September 15-18, 1996, p. 378, Institute of Electrical and Electronics Engineers (1996).
7. D. W. WREST, J. W. HINES, and R. E. UHRIG, "Instrument Surveillance and Calibration Verification to Improve Nuclear Power Plant Reliability' and Safety Using Autoassociative Neural Networks," Proc. Specialist's Mtg. Monitoring and Diagnosis Systems to Improve Nuclear Power Plant Reliability and Safety, Barnwood, Gloucester, United Kingdom, May 14-17, 1996, International Atomic Energy Agency (1996).
8. B. R. UPADHYAYA and E. ERYUREK, "Application of Neural Networks for Sensor Validation and Plant Monitoring," Nucl. Technol., 97, 170 (1992).
9. MATLAB, High Performance Numeric Computation and Visualization Software, The Math Works, Natick, Massachusetts (1993).
10. J.-S. R. JANG and N. GULLEY, Fuzzy Logic Toolbox, The Math Works, Natick, Massachusetts (1995).
11. T. TAKAGI and M. SUGENO, "Fuzzy Identification of Systems and Its Applications to Modeling and Control," IEEE Trans. Syst. Man, Cybern., 15, 116 (1985).
12. M. SUGENO and G. T. KANG, "Structure Identification of Fuzzy Models," Fuzzy Sets Syst., 28, 15 (1988).
13. E. H. MAMDANI and S. ASSILIAN, "An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller," Int. J. Man Mach. Stud., 7, 1, 1 (1975).
14. J.-S. R. JANG and C.-T. SUN, "Neuro-Fuzzy Modeling and Control," Proc. IEEE, 5, 378 (1995).
15. J.-S. R. JANG, C.-T. SUN, and E. MIZUTANI, Neuro-Fuzzy and Soft Computing, Prentice-Hall, Upper Saddle River, New Jersey (1997).
16. J.-S. R. JANG and C.-T. SUN, "Functional Equivalence Between Radial Basis Function Networks and Fuzzy Inference Systems," IEEE Trans. Neural Networks, 4, 1, 156 (1993).
17. B. KOSKO, Fuzzy Engineering, Prentice-Hall, Upper Saddle River, New Jersey (1997).
18. T. MASTERS, Practical Neural Network Recipes in C++, Academic Press, San Diego, California (1993).
19. A. WALD, "Sequential Tests of Statistical Hypothesis," Ann. Math. Stat., 16, 117 (1945).
20. R. E. UHRIG, J. W. HINES, C. J. BLACK, D. J. WREST, and X. XU, "Instrument Surveillance and Calibration Verification System," AQ-6982, The University of Tennessee/Sandia National Laboratories (1996).
21. D. GOLDBERG, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, Massachusetts (1989).
22. SIMULINK Dynamic System Simulation Software, The MathWorks, Natick, Massachusetts (1988).
23. B. KOSKO, "Optimal Fuzzy Rules Cover Extrema," Int. J. Intelligent Syst., 10, 2, 249 (1994).