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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/1246

Title: Optimisation of ISI interval using genetic algorithms for risk informed in-service inspection
Authors: GOPIKA, V
KUSHWAHA, HS
VERMA, AK
SRIVIDYA, A
Keywords: decision making
optimization
markov processes
mathematical models
Issue Date: 2004
Publisher: Elsevier
Citation: Reliability Engineering & System Safety 86(3), 307-316
Abstract: 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.
URI: 10.1016/j.ress.2004.02.004
http://hdl.handle.net/10054/1246
http://dspace.library.iitb.ac.in/xmlui/handle/10054/1246
ISSN: 0951-8320
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