Uncertainty estimation for empirical signal validation modeling

American Nuclear Society 4th International Topical Meeting on Nuclear Plant Instrumentation, Control and Human Machine Interface Technology

Volumn , Issue , 2004, Pages 1047-1059

  Rasmussen, Brandon ^a   Hines, J Wesley ^a  

^a UNIVERSITY OF TENNESSEE   (United States)

Author keywords

Empirical Modeling; Signal Validation; Uncertainty

Indexed keywords

INSTRUMENTATION DEGRADATION; PREDICTION UNCERTAINITY ESTIMATES;

CALIBRATION; COMPUTER SIMULATION; DECISION MAKING; MATHEMATICAL MODELS; NEURAL NETWORKS; ONLINE SYSTEMS;

UNCERTAIN SYSTEMS;

EID: 32044457396     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Atkeson, C., Moore, A. & Schaal, S. (1997). Locally weighted learning. Artif. Intel. Rev., 11, 76-113.
2. Chryssolouris, George, Moshin Lee, and Alvin Ramsey, (1996), "Confidence interval prediction for neural network models," IEEE Transactions on Neural Networks, 7, no. 1, 229-232.
3. Davis, E., D. Funk, D. Hooten, and R. Rusaw, (1998), "On-Line Monitoring of Instrument Channel Performance," EPRI TR-104965.
4. Davis, E., Shankar, R., (2003), "Results of the EPRI/Utility On-Line Monitoring Implementation Program", Transactions of the American Nuclear Society 2003 Winter Meeting, New Orleans, LA.
5. Derks, E.P.P.A., and L.M.C. Buydens, (1998), "Aspects of network training and validation on noisy dta Part 2. validation aspects," Chemometrics and Intelligent Laboratory Systems, 41m 185-193.
6. Dybowski, R., (1997), "Assigning confidence intervals to neural network predictions," Technical Report 2, March, Summary of presentation at the Neural Computing Applications Forum (NCAF), London, January, 1997
7. Efron B., and R.J. Tibshirani, (1993), "An introduction to the bootstrap," Chapman and Hall, New York.
8. Fan, Jianqing, and Irene Gijbels, (1996), Local Polynomial Modelling and its Applications, Chapman and Hall, London.
9. Fantoni, P.F., and A. Mazzola, (1996), "A pattern recognition-artificial neural networks based model for signal validation in nuclear power plants," Annals of Nuclear Energy, 23, no. 13, 1069-1076.
10. Gemperline, P.J., (1997), "Rugged spectroscopic calibration for process control," Chemometrics and Intelligent Laboratory Systems, 39, 29-40.
11. Härdle, W., (1990), Applied Nonparametric Regression, Econometric Society Monographs No. 19, Cambridge University Press.
12. Hines, J.W., R. Uhrig, C. Black, and X. Xu, (1997a), "An evaluation of instrument calibration monitoring using artificial neural networks," Proceedings of the American Nuclear Society, Albuquerque, NM, November 16-20.
13. Hines, J.W., A.V. Gribok, R.E. Uhrig, and I. Attieh, (2000), "Neural network regularization techniques for a sensor validation system," American Nuclear Society Annual Meeting, San Diego, California, June 4-8.
14. Qin, S. Joe, and T.J. McAvoy, (1992), "Nonlinear PLS modeling using neural networks," Comp. Chem. Engng., 16, no. 4, 379-391.
15. Rasmussen, B., J.W. Hines, and R.E. Uhrig, (2000a), "Nonlinear Partial Least Squares Modeling for Instrument Surveillance and Calibration Verification," Proceedings of the Maintenance and Reliability Conference, Knoxville, TN, May 7-10.
16. Rasmussen, B., J.W. Hines, and R.E. Uhrig, (2000b), "A Novel Approach to Process Modeling for Instrument Surveillance and Calibration Verification," The Third American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation and Control and Human-Machine Interface Technologies, Washington DC, November 13-17.
17. Rasmussen, B., (2002), "Neural Network Partial Least Squares for Instrument Surveillance and Calibration Verification," MS Thesis, Nuclear Engineering Department, The University of Tennessee, Knoxville.
18. Rasmussen, B., (2003), "Prediction Interval Estimation Techniques for Empirical Modeling Strategies and their Applications to Signal Validation Tasks", Ph.D. dissertation, Nuclear Engineering Department, The University of Tennessee, Knoxville.
19. Tibshirani, R., (1996), "A comparison of some error estimates for neural network models," Neural Computation, 8, 152-163.
20. Wold, H., (1966), "Nonlinear Estimation by Iterative Least Squares Procedures," F. N. David, Ed., John Wiley, New York, 1966.