A Multi-Objective Genetic Algorithm for determining efficient Risk-Based Inspection programs

This paper proposes a coupling between Risk-Based Inspection (RBI) methodology and Multi-Objective Genetic Algorithm (MOGA) for defining efficient inspection programs in terms of inspection costs and risk level, which also comply with restrictions imposed by international standards and/or local gove...

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Vydáno v:	Reliability engineering & system safety Ročník 133; s. 253 - 265
Hlavní autoři:	Moura, Márcio das Chagas, Lins, Isis Didier, Droguett, Enrique López, Soares, Rodrigo Ferreira, Pascual, Rodrigo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ltd 01.01.2015 Elsevier
Témata:	Applied sciences Chemical engineering Decision theory. Utility theory Energy Exact sciences and technology Failure Fuel processing. Carbochemistry and petrochemistry Fuels Genetic algorithms Genetics Industrial metrology. Testing Inspection Inspection programs Liquid petroleum product processing Liquid-liquid and fluid-solid mechanical separations Mechanical engineering. Machine design Multi-Objective Genetic Algorithm Operational research and scientific management Operational research. Management science Operators Risk levels Risk reduction Risk-Based Inspection Searching Risk reduction Inspection programs Multi-Objective Genetic Algorithm Risk-Based Inspection Decision support system Structure integrity Multiobjective programming Rupture Pressure vessel Maintenance Risk analysis Failures Risk aversion Thinning Corrosion Genetic algorithm Efficiency Phase separation Problem solving Risk management Investment
ISSN:	0951-8320, 1879-0836
On-line přístup:	Získat plný text
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