On Using Quasi-Newton Algorithms of the Broyden Class for Model-to-Test Correlation

Detalhes bibliográficos
Autor(a) principal: Klement,Jan
Data de Publicação: 2014
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of Aerospace Technology and Management (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462014000400407
Resumo: ABSTRACT: The correlation of a model with test results is a common task in engineering. Often genetic algorithms or adaptive particle swarm algorithms are used for this task. In this paper another approach is presented using two quasi-Newton algorithms of the class defined by Broyden. A study was conducted with thermal models showing the performance of this approach. Comparing the results to other studies reveals that the approach reduces the number of iterations by several orders of magnitude; typical calculation times for model correlation times are reduced from the order of weeks and months to the order of hours and days.
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spelling On Using Quasi-Newton Algorithms of the Broyden Class for Model-to-Test CorrelationThermal vacuum testThermal analysisCorrelationBroydenESATANThermicaABSTRACT: The correlation of a model with test results is a common task in engineering. Often genetic algorithms or adaptive particle swarm algorithms are used for this task. In this paper another approach is presented using two quasi-Newton algorithms of the class defined by Broyden. A study was conducted with thermal models showing the performance of this approach. Comparing the results to other studies reveals that the approach reduces the number of iterations by several orders of magnitude; typical calculation times for model correlation times are reduced from the order of weeks and months to the order of hours and days.Departamento de Ciência e Tecnologia Aeroespacial2014-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462014000400407Journal of Aerospace Technology and Management v.6 n.4 2014reponame:Journal of Aerospace Technology and Management (Online)instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)instacron:DCTA10.5028/jatm.v6i4.373info:eu-repo/semantics/openAccessKlement,Janeng2017-05-26T00:00:00Zoai:scielo:S2175-91462014000400407Revistahttp://www.jatm.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||secretary@jatm.com.br2175-91461984-9648opendoar:2017-05-26T00:00Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)false
dc.title.none.fl_str_mv On Using Quasi-Newton Algorithms of the Broyden Class for Model-to-Test Correlation
title On Using Quasi-Newton Algorithms of the Broyden Class for Model-to-Test Correlation
spellingShingle On Using Quasi-Newton Algorithms of the Broyden Class for Model-to-Test Correlation
Klement,Jan
Thermal vacuum test
Thermal analysis
Correlation
Broyden
ESATAN
Thermica
title_short On Using Quasi-Newton Algorithms of the Broyden Class for Model-to-Test Correlation
title_full On Using Quasi-Newton Algorithms of the Broyden Class for Model-to-Test Correlation
title_fullStr On Using Quasi-Newton Algorithms of the Broyden Class for Model-to-Test Correlation
title_full_unstemmed On Using Quasi-Newton Algorithms of the Broyden Class for Model-to-Test Correlation
title_sort On Using Quasi-Newton Algorithms of the Broyden Class for Model-to-Test Correlation
author Klement,Jan
author_facet Klement,Jan
author_role author
dc.contributor.author.fl_str_mv Klement,Jan
dc.subject.por.fl_str_mv Thermal vacuum test
Thermal analysis
Correlation
Broyden
ESATAN
Thermica
topic Thermal vacuum test
Thermal analysis
Correlation
Broyden
ESATAN
Thermica
description ABSTRACT: The correlation of a model with test results is a common task in engineering. Often genetic algorithms or adaptive particle swarm algorithms are used for this task. In this paper another approach is presented using two quasi-Newton algorithms of the class defined by Broyden. A study was conducted with thermal models showing the performance of this approach. Comparing the results to other studies reveals that the approach reduces the number of iterations by several orders of magnitude; typical calculation times for model correlation times are reduced from the order of weeks and months to the order of hours and days.
publishDate 2014
dc.date.none.fl_str_mv 2014-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462014000400407
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462014000400407
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5028/jatm.v6i4.373
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Ciência e Tecnologia Aeroespacial
publisher.none.fl_str_mv Departamento de Ciência e Tecnologia Aeroespacial
dc.source.none.fl_str_mv Journal of Aerospace Technology and Management v.6 n.4 2014
reponame:Journal of Aerospace Technology and Management (Online)
instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
instacron:DCTA
instname_str Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
instacron_str DCTA
institution DCTA
reponame_str Journal of Aerospace Technology and Management (Online)
collection Journal of Aerospace Technology and Management (Online)
repository.name.fl_str_mv Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
repository.mail.fl_str_mv ||secretary@jatm.com.br
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