Environmental Engineering Reference
In-Depth Information
CONCLUSION
Albert, R., & Barabasi, A.-L. (2002). Statistical
Mechanics of Complex Networks. Reviews of
Modern Physics , 74 , 23-26. doi:10.1103/Rev-
ModPhys.74.47
The complex nature of NPP and PG mutual
interaction calls for the need of development of
new approaches to NPP and power grid safety
assessment. The chapter considers an approach to
influences formalization and series integration of
safety assessment methods as well. Two integration
architecture types are introduced: series integra-
tion and parallel. The series integration might be
useful to increase the safety values' validity. The
parallel integration allows reducing the amount the
safety - related information. Integration of BBN
and FL allows capturing all available informa-
tion required for safety assessment of complex
dynamic system under uncertainties. Application
of FL methods, when all parameters describing
the system operation are known, allows determin-
ing the criticalities of all systems under interests.
But for complex dynamical systems the processes
of parameters' measurement might technically
difficult. Application of BBN allows decreasing
the amount information. Thus, for example, for
FL-based safety assessment of reactor, RCIC and
EGRS it is required to measure all parameters
of all systems. Integration of FL-based methods
and BBNs allows decreasing the amount of input
information (measurements) and not measure reac-
tor parameters. RCIC and EGRS parameters are
only required. Thus, in the scope of the example
this integration decreases on tierce of required
information. This approach might be considered
as a basis for the expert system to help the operator
make the decisions, when I&C ability to measure
the critical parameters is compromised due to the
NPP blackout.
Babeshko, E., et al. (2009). Extended depend-
ability analysis of information and control systems
by FME(C)A-technique: Models, procedures,
application. In Proceeding of IEEE DepCoS
RELCOMEX Conference. IEEE.
Bedford, T., & Cooke, R. M. (2001). Probabilistic
Risk Analysis: Foundation and Methods . Cam-
bridge, England: Cambridge University Press.
doi:10.1017/CBO9780511813597
Bowles, J. B. (2004). An assessment of PRN pri-
oritization in a failure modes effects and criticality
analysis. Journal of the IEST , 47 , 45-54.
Brezhnev, E. (2010) Risk-analysis in critical infor-
mation control system based on computing with
words' model. The 7th International Workshop on
Digital Technologies, Circuit Systems and Signal
Processing (pp.67-72), Zilina: University press.
Brezhnev, E., & Kharchenko, V. etc (2011).
Dynamical and Hierarchical Criticality Matrixes-
Based Analysis of Power Grid Safety. International
Topical Meeting on Probabilistic Safety Assess-
ment and Analysis (pp. 1137-1149), Wilmington.:
ANS PSA 2011.
Donald, D. Dudenhoeffer etc CIMS: A framework
for infrastructure interdependencies and analysis.
The 2006 Winter Simulation Conference (pp.478-
485), Washington: on CD.
Gilchrist, W. (1998). Modeling failure modes and
effects analysis. International Journal of Quality
& Reliability Management , 10 (5), 16-23.
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Glass, R. (2005). Simulation and Analysis of
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