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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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/79553

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Title: Multi-objective optimization of design and testing of safety instrumented systems with MooN voting architectures using a genetic algorithm
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear
Issued date:
Abstract:
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 ...[+]
Subjects: Safety system , Optimization , Genetic algorithms , K-out-of-n , Probability of failure on demand , Spurious trip rate
Copyrigths: Cerrado
Source:
Reliability Engineering and System Safety. (issn: 0951-8320 )
DOI: 10.1016/j.ress.2012.03.010
Publisher:
Elsevier
Publisher version: http://dx.doi. org/10.1016/j.ress.2012.03.010
Type: Artículo

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