Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/122952
Título: Identification of impedance parameters of electrochemical systems using differential evolution
Autores/as: González, Francisco 
Greiner Sánchez, David Juan 
Mena, Vicente 
Souto, Ricardo M.
Aznárez González, Juan José 
Santana Rodríguez, Juan José 
Clasificación UNESCO: 33 Ciencias tecnológicas
Palabras clave: Metal-coating systems
EIS
Modelling studies
Evolutionary Algorithms
Differential Evolution
Fecha de publicación: 2016
Publicación seriada: Engineering Structures 
Resumen: Impedance data obtained by Electrochemical Impedance Spectroscopy (EIS) are fitted to a relevant electrical equivalent circuit in order to evaluate parameters directly related to the resistance and the durability of coated metal systems. An alternative method to non-linear regression algorithms for the analysis of measured data in terms of equivalent circuit parameters is provided by evolutionary algorithms, more especially the differential evolution (DE) algorithms (standard DE and a representative of the self-adaptive DE paradigm were used). Obtained results with DE algorithms were compared with commercial fitting software achieving a more accurate solution in all handled cases.
URI: http://hdl.handle.net/10553/122952
ISSN: 0141-0296
Fuente: Engineering Structures [ISSN 0141-0296]
Colección:Artículos
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