Application of a Genetic Algorithm in a Fault-tolerant Filter

This paper presents an eighth order low-pass filter which has characteristics of fault tolerance through the use of evolvable hardware (EHW). A field programmable analog array (FPAA) is used to implement the filter under study. The reconfiguration process of the filter involves the execution of a g...

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Detalles Bibliográficos
Autores principales:	Lovay, Mónica, Peretti, Gabriela, Romero, Eduardo, Marqués, Carlos
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2013
Materias:	Ciencias Informáticas evolvable hardware field programmable analog array faulttolerant filter genetic algorithm multi-objective optimization
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/76858 http://42jaiio.sadio.org.ar/proceedings/simposios/Trabajos/AST/13.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-76858
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas evolvable hardware field programmable analog array faulttolerant filter genetic algorithm multi-objective optimization
spellingShingle	Ciencias Informáticas evolvable hardware field programmable analog array faulttolerant filter genetic algorithm multi-objective optimization Lovay, Mónica Peretti, Gabriela Romero, Eduardo Marqués, Carlos Application of a Genetic Algorithm in a Fault-tolerant Filter
topic_facet	Ciencias Informáticas evolvable hardware field programmable analog array faulttolerant filter genetic algorithm multi-objective optimization
description	This paper presents an eighth order low-pass filter which has characteristics of fault tolerance through the use of evolvable hardware (EHW). A field programmable analog array (FPAA) is used to implement the filter under study. The reconfiguration process of the filter involves the execution of a genetic algorithm (GA) in an external computer, after a fault is detected. To perform the test of the filter, we assume that a frequency response characterization test is used. A parametric fault model that considers deviations in the values of one of the capacitors or one of the input amplifiers (IA) is used to evaluate the performance of developed GA. The results show that GA finds filter configurations that meet the restrictions set for all the simulated faults. Additionally, this work shows better results compared to those previously obtained using another EHW scheme for the same low-pass filter.
format	Objeto de conferencia Objeto de conferencia
author	Lovay, Mónica Peretti, Gabriela Romero, Eduardo Marqués, Carlos
author_facet	Lovay, Mónica Peretti, Gabriela Romero, Eduardo Marqués, Carlos
author_sort	Lovay, Mónica
title	Application of a Genetic Algorithm in a Fault-tolerant Filter
title_short	Application of a Genetic Algorithm in a Fault-tolerant Filter
title_full	Application of a Genetic Algorithm in a Fault-tolerant Filter
title_fullStr	Application of a Genetic Algorithm in a Fault-tolerant Filter
title_full_unstemmed	Application of a Genetic Algorithm in a Fault-tolerant Filter
title_sort	application of a genetic algorithm in a fault-tolerant filter
publishDate	2013
url	http://sedici.unlp.edu.ar/handle/10915/76858 http://42jaiio.sadio.org.ar/proceedings/simposios/Trabajos/AST/13.pdf
work_keys_str_mv	AT lovaymonica applicationofageneticalgorithminafaulttolerantfilter AT perettigabriela applicationofageneticalgorithminafaulttolerantfilter AT romeroeduardo applicationofageneticalgorithminafaulttolerantfilter AT marquescarlos applicationofageneticalgorithminafaulttolerantfilter
bdutipo_str	Repositorios
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Application of a Genetic Algorithm in a Fault-tolerant Filter

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