IMFLAR: An Intuitive Method for Logical Avionics Reliability

Detalhes bibliográficos
Autor(a) principal: Silva,Nilson
Data de Publicação: 2013
Outros Autores: Trabasso,Luís Gonzaga
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=S2175-91462013000100111
Resumo: ABSTRACT: The continued growth of the general aviation fleet demands the need of forever improved preventive methods of failure analysis, in order to reduce the number of incidents or accidents. It has been proved that one possible solution to avoid unsafe conditions is the installation of new avionic systems. This article presents the method named IMFLAR - an Intuitive Method For a Logical Avionics Reliability, an analysis method for avionic systems installations based on a conceptual model of human factors and an artificial neural network application, giving an overview of these installations and analyzing the involved risk factors. This is a new preventive approach that establishes a relationship between unsafe characteristics observed during the installation of avionic systems and an operational database of incidents and accidents, in order to provide a framework to make aviation safer. Additionally, this article describes the steps to obtain the necessary parameters that ought to be used to avoid unsafe conditions for a modification that installs an avionics system in the aircraft.
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spelling IMFLAR: An Intuitive Method for Logical Avionics ReliabilityAccidents preventionAvionics systemArtificial neural networkABSTRACT: The continued growth of the general aviation fleet demands the need of forever improved preventive methods of failure analysis, in order to reduce the number of incidents or accidents. It has been proved that one possible solution to avoid unsafe conditions is the installation of new avionic systems. This article presents the method named IMFLAR - an Intuitive Method For a Logical Avionics Reliability, an analysis method for avionic systems installations based on a conceptual model of human factors and an artificial neural network application, giving an overview of these installations and analyzing the involved risk factors. This is a new preventive approach that establishes a relationship between unsafe characteristics observed during the installation of avionic systems and an operational database of incidents and accidents, in order to provide a framework to make aviation safer. Additionally, this article describes the steps to obtain the necessary parameters that ought to be used to avoid unsafe conditions for a modification that installs an avionics system in the aircraft.Departamento de Ciência e Tecnologia Aeroespacial2013-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462013000100111Journal of Aerospace Technology and Management v.5 n.1 2013reponame:Journal of Aerospace Technology and Management (Online)instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)instacron:DCTA10.5028/jatm.v5i1.165info:eu-repo/semantics/openAccessSilva,NilsonTrabasso,Luís Gonzagaeng2017-05-29T00:00:00Zoai:scielo:S2175-91462013000100111Revistahttp://www.jatm.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||secretary@jatm.com.br2175-91461984-9648opendoar:2017-05-29T00:00Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)false
dc.title.none.fl_str_mv IMFLAR: An Intuitive Method for Logical Avionics Reliability
title IMFLAR: An Intuitive Method for Logical Avionics Reliability
spellingShingle IMFLAR: An Intuitive Method for Logical Avionics Reliability
Silva,Nilson
Accidents prevention
Avionics system
Artificial neural network
title_short IMFLAR: An Intuitive Method for Logical Avionics Reliability
title_full IMFLAR: An Intuitive Method for Logical Avionics Reliability
title_fullStr IMFLAR: An Intuitive Method for Logical Avionics Reliability
title_full_unstemmed IMFLAR: An Intuitive Method for Logical Avionics Reliability
title_sort IMFLAR: An Intuitive Method for Logical Avionics Reliability
author Silva,Nilson
author_facet Silva,Nilson
Trabasso,Luís Gonzaga
author_role author
author2 Trabasso,Luís Gonzaga
author2_role author
dc.contributor.author.fl_str_mv Silva,Nilson
Trabasso,Luís Gonzaga
dc.subject.por.fl_str_mv Accidents prevention
Avionics system
Artificial neural network
topic Accidents prevention
Avionics system
Artificial neural network
description ABSTRACT: The continued growth of the general aviation fleet demands the need of forever improved preventive methods of failure analysis, in order to reduce the number of incidents or accidents. It has been proved that one possible solution to avoid unsafe conditions is the installation of new avionic systems. This article presents the method named IMFLAR - an Intuitive Method For a Logical Avionics Reliability, an analysis method for avionic systems installations based on a conceptual model of human factors and an artificial neural network application, giving an overview of these installations and analyzing the involved risk factors. This is a new preventive approach that establishes a relationship between unsafe characteristics observed during the installation of avionic systems and an operational database of incidents and accidents, in order to provide a framework to make aviation safer. Additionally, this article describes the steps to obtain the necessary parameters that ought to be used to avoid unsafe conditions for a modification that installs an avionics system in the aircraft.
publishDate 2013
dc.date.none.fl_str_mv 2013-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5028/jatm.v5i1.165
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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.5 n.1 2013
reponame:Journal of Aerospace Technology and Management (Online)
instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
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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)
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