SEDRET - an intelligent system for the diagnosis and prediction of events in power plants

Expert Systems with Applications

Volumn 18, Issue 2, 2000, Pages 75-86

  Arroyo Figueroa, G ^a   Alvarez, Y ^a   Sucar, L E ^b  

^a INSTITUTO DE INVESTIGACIONES ELÉCTRICAS   (Mexico)

^b SCHOOL OF ENGINEERING AND SCIENCES   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

FOSSIL FUEL POWER PLANTS; KNOWLEDGE REPRESENTATION; NEURAL NETWORKS;

TEMPORAL NODES BAYESIAN NETWORKS (TNBN);

EXPERT SYSTEMS;

EID: 0034139131     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0957-4174(99)00054-8     Document Type: Article

References (17)

1. Aliferis, C.F., & Cooper, G. (1996). A structurally and temporally extended Bayesian belief network model: definitions, properties, and modeling techniques. In Proccedings of the 12th Conference on Uncertainty in Artificial Intelligence, Bloomington, IN (pp. 28-39).
2. Alvarez-Salas, Y. (1999). Diagnosis expert system based on temporal Bayesian network for level drum control of steam generator of fossil power plant. Thesis (in Spanish), Universidad de Occidente.
3. Arroyo-Figueroa, G. (1999). Probalilistic reasoning with temporal nodes and its application for diagnosis and prediction. PhD thesis (in Spanish), Computer Department ITESM Campus Morelos.
4. Arroyo-Figueroa, G., & Sucar, E. (1999). Temporal Bayesian network for diagnosis and prediction. In Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden (pp. 13-20).
5. Arroyo-Figueroa, G., & Villavicencio, A. (1994). Intelligent system to improve heat rate in fossil power plants. In Proceedings of IFAC Symposium on Artificial Intelligence in Real-Time Control, Valencia Spain (pp. 365-371).
6. Arroyo-Figueroa G., Sucar E., Solis E., Villavicencio A. SADEP - a fuzzy diagnostic system shell - an application to fossil power plant operation. Expert System with Applications. 14:(1/2):1998;43-52.
7. Boyen, Wehenkel A. Automatic induction of fuzzy decision trees and its application to power system security assessment. Fuzzy Sets and Systems. 102:(1):1999;645-780.
8. Falinower, C., & Mari, B. (1994). SACSO: an expert system for fossil-fuel power plant operations. Technical Report HI21/94-006, Electricité de France, Paris, France.
9. Horvitz, E., & Seiver, A. (1997). Time-critical reasoning: representations and application. In Proceedings of the 13th Conference on Uncertainty Artificial Intelligence, Rhode Island, USA (pp. 250-256).
10. Kang C.W., Golay M.W. A Bayesian belief network-based advisory system for operational availability focused diagnosis of complex nuclear power systems. Expert System with Applications. 17:(1):1999;21-32.
11. Moradian A., Thompson D., Tomlinson H., Jenkins A. On-line artificial intelligence diagnostic for utility generating stations. Electric Power Research. 23:1992;13-21.
12. Pearl J. Probilistic reasoning in intelligent systems: networks of plausible inference. 1988;Morgan Kaufmann, San Mateo, CA.
13. Santos, E., Jr., & Young, J. (1996). Probabilistic temporal networks. Report AFIT/EN/TR96-006 AFIT.
14. Shirley, S., Forbes, H., & Nelson, R. (1990). An on-line expert system to improve heat rate. In Proceedings of the 1990 American Power Conference, Miami, FL (pp. 314-321).
15. Tsou, J. (1995). HEATXPRT heat rate improvement advisor prototype version. User Manual Electric Power Research Institute, Palo Alto, CA.
16. Wong A.C., Ho H., Teo C. Use of an expert system shell to develop a power plant simulator for monitoring and fault diagnosis. Electric Power System Research. 29:1994;27-33.
17. Zhang H., Zhao G. CMEOC - an expert system in the coal mining industry. Expert System with Applications. 16:(1):1999;73-77.