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Safety analysis of RNP approach procedure using fusion of FRAM model and Bayesian belief network

Published online by Cambridge University Press:  06 June 2023

Diogo Oliveira Open the ORCID record for Diogo Oliveira [Opens in a new window] ,
Alison Moraes Open the ORCID record for Alison Moraes [Opens in a new window] ,
Moacyr Cardoso Junior Open the ORCID record for Moacyr Cardoso Junior [Opens in a new window]  and
Leonardo Marini-Pereira Open the ORCID record for Leonardo Marini-Pereira [Opens in a new window]
Diogo Oliveira*
Affiliation:
Instituto Tecnologico de Aeronautica, Sao Jose dos Campos (SP), Brazil
Alison Moraes
Affiliation:
Departamento de Ciência e Tecnologia Aeroespacial, Instituto de Aeronáutica e Espaço, São José dos Campos (SP), Brazil
Moacyr Cardoso Junior
Affiliation:
Instituto Tecnologico de Aeronautica, Sao Jose dos Campos (SP), Brazil
Leonardo Marini-Pereira
Affiliation:
Departamento de Controle do Espaço Aéreo, Instituto de Controle do Espaço Aéreo, São José dos Campos (SP), Brazil
*
*Corresponding author: Diogo Oliveira; Email: diogobpoliveira@gmail.com
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Abstract

The use of the required navigation performance (RNP) procedure has been increasing for aircraft navigation, since it allows for better optimisation of the airspace, which is increasingly congested. The present work aims to investigate the application of the functional resonance analysis method (FRAM), combined with the quantitative analysis provided by the Bayesian belief network (BBN), to demonstrate the existing variability in functions that are part of the complex navigation system based on the RNP procedure, specifically when the aircraft approaches the airport (approach phase). As a result, it is possible to analyse the variability that occurs in the studied system and the BBN complemented the study by allowing a quantitative interpretation of the functions considered most important for the execution of an RNP approach procedure.

Keywords

RNPsafetyFRAMBayesian belief network
Type
Research Article
Information
The Journal of Navigation , Volume 76 , Issue 2-3 , March 2023 , pp. 286 - 315
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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