Optimisation of ISI interval using genetic algorithms for risk informed in-service inspection |
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Authors: | Gopika Vinod H. S. Kushwaha A. K. Verma A. Srividya |
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Affiliation: | a Reactor Safety Division, Bhabha Atomic Research Centre, Mumbai 400 085, India;b Indian Institute of Technology, Bombay, Mumbai, India |
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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. |
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Keywords: | Risk informed in-service inspection Optimization Markov model Genetic algorithms |
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