Design of a software sensor for feedwater flow measurement using a fuzzy inference system

Nuclear Technology

Volumn 150, Issue 3, 2005, Pages 293-302

  Na, Man Gyun ^a   Shin, Sun Ho ^a   Jung, Dong Won ^a  

^a Chosun University   (South Korea)

Author keywords

Feedwater measurement; Fuzzy inference system; Software sensor

Indexed keywords

COMPUTER SIMULATION; DESIGN; FEEDWATER ANALYSIS; FLOW MEASUREMENT; FLOW MEASURING INSTRUMENTS; FUZZY SETS; GENETIC ALGORITHMS; OPTIMIZATION; PRESSURIZED WATER REACTORS; SENSORS;

FEEDWATER FLOW MEASUREMENT; FUZZY INFERENCE SYSTEM; PARAMETER OPTIMIZATION; SOFTWARE SENSOR; THERMAL EFFICIENCY;

NUCLEAR POWER PLANTS;

EID: 20344366067     PISSN: 00295450     EISSN: None     Source Type: Journal    
DOI: 10.13182/NT05-A3623     Document Type: Article

References (14)

1. K. KAVAKLIOGLU and B. R. UPADHYAYA, "Monitoring Feedwater Flow Rate and Component Thermal Performance of Pressurized Water Reactors by Means of Artificial Neural Networks," Nucl. Technol., 107, 112 (1994).
2. G. HEO, S. S. CHOI, and S. H. CHANG, "Thermal Power Estimation by Fouling Phenomena Compensation Using Wavelet and Principal Component Analysis," Nucl. Eng. Des., 199, 1-2, 31 (2000).
3. D.-J. CHOI and H. PARK, "A Hybrid Artificial Neural Network as a Software Sensor for Optimal Control of a Wastewater Treatment Process," Water Res., 35, 16, 3959 (2001).
4. N. RÉGNIER, G. DEFAYE, L. CARALP, and C. VIDAL, "Software Sensor Based Control of Exothermic Batch Reactors," Chem. Eng. Sci., 51, 23, 5125 (1996).
5. S. LINKO, J. LUOPA, and Y.-H. ZHU, "Neural Networks as 'Software Sensors' in Enzyme Production," J. Biotechnology, 52, 3, 257 (1997).
6. A. CHÉRUY, "Software Sensors in Bioprocess Engineering," J. Biotechnology, 52, 3, 193 (1997).
7. M. H. MASSON, S. CANU, Y. GRANDVALET, and A. LYNGGAARD-JENSEN, "Software Sensor Design Based on Empirical Data," Ecol. Model., 120, 2-3, 131 (1999).
8. E. H. MAMDANI and S. ASSILIAN, "An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller," Int. J. Man-Machine Studies, 7, 1 (1975).
9. T. TAKAGI and M. SUGENO, "Fuzzy Identification of Systems and Its Applications to Modeling and Control," IEEE Trans. Sys., Man, Cybern., 1, 116 (1985).
10. M. G. NA and Y. R. SIM, "An Input Feature Selection Method Applied to Fuzzy Neural Networks for Signal Estimation," J. Korean Nucl. Soc., 33, 5, 457 (2001).
11. M. G. NA, Y. R. SIM, K. H. PARK, S. M. LEE, D. W. JUNG, S. H. SHIN, B. R. UPADHYAYA, K. ZHAO, and B. LU, "Sensor Monitoring Using a Fuzzy Neural Network with an Automatic Structure Constructor," IEEE Trans. Nucl. Sci., 50, 2, 241 (2003).
12. D. E. GOLDBERG, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison Wesley, Reading, Massachusetts (1989).
13. M. MITCHELL, An Introduction to Genetic Algorithms, The MIT Press, Cambridge, Massachusetts (1996).
14. W.-J. LEE, B.-D. CHUNG, J.-J. JEONG, K.-S. HA, and M.-K. HWANG, "Improved Features of MARS 1.4 and Verification," KAERI /TR-1386-99, Korea Atomic Energy Research Institute (1999).