Evaluating system behavior through Dynamic Master Logic Diagram (DMLD) modeling

Reliability Engineering and System Safety

Volumn 64, Issue 2, 1999, Pages 241-269

  Hu, Yu Shu ^a   Modarres, Mohammad ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

Dynamic reliability analysis; Functional modelling; Fuzzy logic; Partial failures

Indexed keywords

EXPERT SYSTEMS; FUZZY SETS; MATHEMATICAL MODELS; RELIABILITY;

DYNAMIC MASTER LOGIC DIAGRAM (DMLD); DYNAMIC RELIABILITY ANALYSIS; FUNCTIONAL MODELING;

SYSTEMS ANALYSIS;

EID: 0033133636     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0951-8320(98)00066-0     Document Type: Article

References (25)

1. Courtois P. On time and space decomposition of complex structures. Communications of the ACM. 28(6):1985;596.
2. Simon H. The sciences of the artificial. Cambridge, MA: MIT Press, 1982: 217-21.
3. Hunt RN, Modarres M. Performing a plant specific PRA by hand - a practical reality, presented at the 14th INTER-RAM Conference, Minneapolis, 1987.
4. Kim I, Modarres M. Goal tree-success tree model as the knowledge-base of operator advisory systems. Topical Meeting on Artificial Intelligence and other Innovative Computer Applications in Nuclear Industry, Snowbird, UT, 1987.
5. Chen L.-W., Modarres M. A hierarchical decision process for fault administration. Computers and Chemical Eng J. 16(5):1992;425-448.
6. Dezfuli H., Modarres M., Meyer J. Application of REVEAL_W™ to risk-based configuration control. Reliability Eng and Safe J. 44:1994;243-263.
7. Modarres M. Application of the master plant logic diagram in PSAs during design. ANS Topical Meeting on Risk Management - Expanding Horizons, Boston, 1992.
8. Modarres M. Functional modeling for integration of human-software-hardware in complex physical systems. In: Proceedings of the Fourth International Workshop on Functional Modeling of Complex Technical Systems, Athens, Greece, 1996.
9. Zadeh L.A. Fuzzy sets. Information and Control. 8:1965;338-353.
10. Zadeh LA. The linguistic approach and its application to decision analysis. In: Ho YC, Mitter SK, editors. Directions in large-scale systems. New York: Plenum Press, 1976: 335-61.
11. Hu Y-S, Modarres M. An introduction to Dynamic MPLD model. In: Proceedings of the PSAM-II Conference, San Diego, CA, 1994.
12. Hu Y-S, Modarres M. Time-dependent system knowledge representation based on Dynamic MPLD. Second IFAC Workshop on Computer Software Structures Integrating AI/KBS Systems in Process Control, Lund, Sweden; also published in Special Section of Control Engineering Practice J, IFAC, 1994.
13. Hu Y-S, Modarres M. Evaluating system behavior through dynamic MLD modeling. Topical Meeting on Computer-based Human Support Systems, American Nuclear Society Human Factors Divison, Philadelphia, PA, 1995.
14. Hu Y-S, Modarres M, Functional modeling using Dynamic Master Logic Diagram (DMLD). ESREL96-PSAM III, Crete, Greece, June 1996.
15. Takagi T, Sugeno M. Fuzzy identification of systems and its application to modeling and control. IEEE Trans on Systems, Mans, and Cybern; SMC, 1985;15(1): 116-32.
16. Nebendahl D. Expert system: introduction to the technology and applications. New York: John Wiley and Sons, 1988.
17. Golshani F. Rule-based expert systems. In: Adeli H, editor. Knowledge engineering, vol. I: fundamentals. New York: McGraw-Hill Publishing, 1990.
18. Sebo D, Marksberry D, Modarres M. RSAS: a reactor safety assessment system, In: Proceedings of the 7th Power Plant Dynamics, Control and Testing Symposium, Knoxville, TN, 1989.
19. Debler WR. Fluid mechanics fundamentals. Englewood Cliffs, NJ: Prentice Hall, Inc.,1990.
20. Zadeh L.A. Probability measurement of fuzzy events. Jmaa. 23:1968;421-427.
21. Kwakernaak H. Fuzzy random variables: Part I: definitions and theorems; Part II: algorithms and examples for the decrete case. Informations Sciences 1978; 15: 1-29; 17, 253-278.
22. Boswell S.B., Taylor M.S. A central limit theorem for fuzzy random variables. Fuzzy Sets and Systems. 24:1987;331-344.
23. Yager R.R. Entropy measures under similarity relations. Int J of General Systems. 20:1992;341-356.
24. Kruse R, Meyer K. Statistics with vague data. Dordrecht: D. Reidel, 1987.
25. Ohba R. Intelligent sensor technology. New York: John Wiley and Sons, 1992.