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Multi-objective optimization of design and testing of safety instrumented systems with MooN voting architectures using a genetic algorithm

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Multi-objective optimization of design and testing of safety instrumented systems with MooN voting architectures using a genetic algorithm

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Torres Echeverria, AC.; Martorell Alsina, SS.; Thompson, A. (2012). Multi-objective optimization of design and testing of safety instrumented systems with MooN voting architectures using a genetic algorithm. Reliability Engineering and System Safety. 106:45-60. doi:10.1016/j.ress.2012.03.010

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Título: Multi-objective optimization of design and testing of safety instrumented systems with MooN voting architectures using a genetic algorithm
Autor:
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear
Fecha difusión:
Resumen:
This paper presents the optimization of design and test policies of safety instrumented systems using MooN voting redundancies by a multi-objective genetic algorithm. The objectives to optimize are the Average Probability ...[+]
Palabras clave: Safety system , Optimization , Genetic algorithms , K-out-of-n , Probability of failure on demand , Spurious trip rate
Derechos de uso: Cerrado
Fuente:
Reliability Engineering and System Safety. (issn: 0951-8320 )
DOI: 10.1016/j.ress.2012.03.010
Editorial:
Elsevier
Versión del editor: http://dx.doi. org/10.1016/j.ress.2012.03.010
Tipo: Artículo

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