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Optimisation of ISI interval using genetic algorithms for risk informed in-service inspection

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Title Optimisation of ISI interval using genetic algorithms for risk informed in-service inspection
 
Creator GOPIKA, V
KUSHWAHA, HS
VERMA, AK
SRIVIDYA, A
 
Subject decision making
optimization
markov processes
mathematical models
 
Description Risk Informed In-Service Inspection (RI-ISI) aims at prioritising the components for inspection within the permissible risk level thereby
avoiding unnecessary inspections. Various constraints such as risk level, radiation exposure to the workers and cost of inspections are
encountered, while planning the inspection programme. This problem has been attempted to solve using genetic algorithms, which has
already established its suitability in optimizing Surveillance and Maintenance activities in Nuclear Power Plants. The paper describes the
application of genetic algorithm in optimizing the ISI of feeders, which are large in number and also fall in the same inspection category.
 
Publisher Elsevier
 
Date 2009-04-24T09:17:08Z
2011-12-08T06:33:57Z
2011-12-26T13:01:40Z
2011-12-27T05:45:58Z
2009-04-24T09:17:08Z
2011-12-08T06:33:57Z
2011-12-26T13:01:40Z
2011-12-27T05:45:58Z
2004
 
Type Article
 
Identifier Reliability Engineering & System Safety 86(3), 307-316
0951-8320
10.1016/j.ress.2004.02.004
http://hdl.handle.net/10054/1246
http://dspace.library.iitb.ac.in/xmlui/handle/10054/1246
 
Language en