Advisory system for the diagnosis of lost electric output in nuclear power plants

Expert Systems with Applications

Volumn 29, Issue 4, 2005, Pages 747-756

  Heo, Gyunyoung ^a   Chang, Soon Heung ^a   Choi, Seong Soo ^b   Choi, Gwang Hee ^c   Jee, Moon Hak ^c  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Atomic Creative Technology Co Ltd   (South Korea)

^c Primary Fluid Systems Engineering   (South Korea)

Author keywords

Advisory system; Bayesian network; Diagnosis; Nuclear power plant; Regression; Turbine cycle

Indexed keywords

BOUNDARY CONDITIONS; COMPETITION; COMPUTER SIMULATION; CORRELATION METHODS; DIAGNOSIS; PARAMETER ESTIMATION; REGRESSION ANALYSIS; TURBINES;

ADVISORY SYSTEM; BAYESIAN NETWORK; REGRESSION; TURBINE CYCLE;

NUCLEAR POWER PLANTS;

EID: 25844488256     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2005.06.002     Document Type: Article

References (16)

1. G.C. Alder, B. Blakeley, D.R. Fleming, W.C. Kettenacker, and G.L. Minner Manuals for PEPSE® and PEPSE®-GT, ScienTech, USA 1999
2. G. Arroyo-Figueroa, Y. Alvarez, and L.E. Sucar SEDRET - an Intelligent system for the diagnosis and prediction of events in power plants Expert Systems with Applications 18 2000 75 86
3. M. Bhushan, and R. Rengaswamy Comprehensive design of a sensor network for chemical plants based on various diagnosability and reliability criteria, 1. Framework Industrial and Engineering Chemistry Research 41 2002 1826 1839
4. M. Bhushan, and R. Rengaswamy Comprehensive design of a sensor network for chemical plants based on various diagnosability and reliability criteria, 2. Application Industrial and Engineering Chemistry Research 41 1840 2002 1860
5. T. Eckert Thermal performance engineer's handbook: An introduction to thermal performance TR-107422-V1 1998 EPRI USA
6. C.A. Frangopoulos Thermo-economic functional analysis and optimization Energy 12 7 1987 563 571
7. G. Guglielmi, T. Parisini, and G. Rossi Fault diagnosis and neural networks: a power plant application Control Engineering Practice 3 5 1995 601 620
8. Heo, G., (2004). Development of turbine cycle performance analyzer using intelligent data mining. Doctoral Thesis. Department of Nuclear and Quantum Engineering in Korea Advanced Institute of Science and Technology, Korea.
9. F.V. Jensen An Introduction to Bayesian Networks 1996 Springer New York
10. C.M. Kadie, D. Hovel, and E. Horvitz MSBNx: A component-centric toolkit for modeling and inference with Bayesian networks MSR-TR-2001-67 2001 Microsoft Corporation Redmond, WA
11. C.W. Kang, and M.W. Golay A Bayesian belief network-based advisory system for operational availability focused diagnosis of complex nuclear power systems Expert System with Application 17 1 1999 21 32
12. C.W. Kang, and M.W. Golay An integrated method for comprehensive sensor network development in complex power plant systems Reliability Engineering and System Safety 67 2000 17(27
13. KEPRI Guidelines for nuclear power plant performance management 1995 Korea Electric Power Research InstituteKorea Electric Power Research Institute (KEPRI) Korea
14. M.A. Lozano, and A. Valero Theory of the exergetic cost Energy 18 9 1993 939 960
15. C. Torres, A. Valero, L. Serra, and J. Royo Structural theory and thermoeconomic diagnosis Energy Conversion and Management 43 2002 1503 1518
16. Z. Yangping, Z. Bingquan, and W. DongXin Application of genetic algorithms to fault diagnosis in nuclear power plants Reliability Engineering and System Safety 67 2000 153 160