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Test interval optimization of safety systems of nuclear power plant using fuzzy-genetic approach

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Title Test interval optimization of safety systems of nuclear power plant using fuzzy-genetic approach
 
Creator RAO, KDURGA
GOPIKA, V
KUSHWAHA, HS
VERMA, AK
SRIVIDYA, A
 
Subject decision making
optimization
fuzzy sets
genetic algorithms
 
Description Probabilistic safety assessment (PSA) is the most effective and efficient tool for safety and risk management in nuclear power plants
(NPP). PSA studies not only evaluate risk/safety of systems but also their results are very useful in safe, economical and effective design
and operation of NPPs. The latter application is popularly known as ‘‘Risk-Informed Decision Making’’. Evaluation of technical
specifications is one such important application of Risk-Informed decision making. Deciding test interval (TI), one of the important
technical specifications, with the given resources and risk effectiveness is an optimization problem. Uncertainty is inherently present in
the availability parameters such as failure rate and repair time due to the limitation in assessing these parameters precisely. This paper
presents a solution to test interval optimization problem with uncertain parameters in the model with fuzzy-genetic approach along with
a case of application from a safety system of Indian pressurized heavy water reactor (PHWR).
 
Publisher Elsevier
 
Date 2009-04-24T09:11:37Z
2011-12-08T06:25:55Z
2011-12-26T13:01:36Z
2011-12-27T05:45:31Z
2009-04-24T09:11:37Z
2011-12-08T06:25:55Z
2011-12-26T13:01:36Z
2011-12-27T05:45:31Z
2007
 
Type Article
 
Identifier Reliability Engineering & System Safety 92(7), 895-901
0951-8320
10.1016/j.ress.2006.05.009
http://hdl.handle.net/10054/1230
http://dspace.library.iitb.ac.in/xmlui/handle/10054/1230
 
Language en