IMFLAR: An Intuitive Method for Logical Avionics Reliability

Silva, Nilson; Trabasso, Luís Gonzaga

doi:10.5028/jatm.v5i1.165

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.

KEYWORDS:
Accidents prevention; Avionics system; Artificial neural network

Full text is available only in PDF.

REFERENCES

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Simulink/MATLAB V.7, R14/, Copyright 1984-2004, The MathWorks, Inc.
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Publication Dates

Publication in this collection
Jan-Mar 2013

History

Received
01 Oct 2012
Accepted
13 Feb 2013

This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

[1] Aircraft Crashes Record Office (ACRO), 2011, "Various Statistics", retrieved in 17 Aug. 2011, from http://www.baaa-acro.com/Statistiques%20diverses.html
» http://www.baaa-acro.com/Statistiques%20diverses.html

[2] Aircraft Owners and Pilots Association (AOPA), 2010, "AOPA General Aviation Trends Report", Fourth Quarter 2010, AOPA Online, retrieved in 17 Aug. 2011, from http://www.aopa.org/whatsnew/trend.html
» http://www.aopa.org/whatsnew/trend.html

[3] Agência Nacional de Aviação Civil (ANAC), "Aircraft Modification - Brazilian STC (CHST)", PST/GGCP/SAR/ANAC, retrieved in 17 Aug. 2011, from http://www2.anac.gov.br/certificacao/CHST/CHSTE.asp
» http://www2.anac.gov.br/certificacao/CHST/CHSTE.asp

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» http://www.anac.gov.br/certificacao/PST/index_pst.asp

[5] Associação Brasileira de Aviação Geral (ABAG), 2011, "Anuário Brasileiro de Aviação Geral - 2011", Brazil.

[6] Bird, F.E. Jr. and Germain, G.L., 1969, "Damage Control", American Management Association, New York, 1969.

[7] Braga, P.L., 2006, "Reconhecimento de voz dependente de locutor utilizando Redes Neurais Artificiais". Escola Politécnica de Pernambuco. Universidade de Pernambuco, PE, Brazil.

[8] Burin, J.M., 2011, "Leveling off", Aerosafetyworld, Flight Safety Foundation, Feb. 2011.

[9] Castro, F.C.C. and Castro.M., 2001, "Mapas de Kohonen (Self-Organizing Map). Redes neurais artificiais", dissertação de mestrado, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Cap. 7, RS, Brazil.

[10] Centro de Investigação e Prevenção de Acidentes Aeronáuticos (CENIPA), 2009, Instrução do Comando da Aeronáutica. ICA 3-2 "Programa de prevenção de acidentes aeronáuticos da aviação civil brasileira para 2009".

[11] Corrêa, C.S., Villaron, M.A., Araujo, R.T. and Pinto, M.L.A., 2010, "Variabilidade sazonal da precipitação no aeroporto de São José dos Campos - SP entre os anos de 1982 e 2009", IN: CONGRESSO BRASILEIRO DE METEOROLOGIA, XVI., 2010, Belém. Anais do XVI CBMET, Belém, PA, Sociedade Brasileira de Meteorologia (SBMET), 2010. retrieved in 12 Sep. 2012, from http://www.cbmet2010.com/anais/artigos/310_40078.pdf
» http://www.cbmet2010.com/anais/artigos/310_40078.pdf

[12] Cox, A.L., 2008, "What's Wrong with Risk Matrices?". Risk Analysis, 28 (2), 497-512.

[13] Department of Defense (DOD), 2000, "Standard Practice for System Safety, MIL-STD-882D, USA.

[14] Edwards, E., 1972, "Man and machine: Systems for safety", Proceedings of British Airline Pilots Associations Technical Symposium, British Airline Pilots Associations, London, pp. 21-36.

[15] Everdij, M.H.C., Blom, H.A.P. and Kirwan, B., 2006, "Development of a structured database of safety methods", 8th International Conference on Probabilistic Safety Assessment and management (PSAM8), New Orleans, Louisiana, USA.

[16] Federal Aviation Administration (FAA), 2010, "Developing and Implementing an Air Carrier Continuing Analysis and Surveillance System", Advisory Circular (AC) 120-79A, U.S. Department of Transportation.

[17] Francisco, C.A.C., 2004, "Rede de Kohonen: Uma ferramenta no estudo das relações tróficas entre as espécies de peixes" (dissertação de mestrado), Programa de Pós-Graduação em Métodos Numéricos em Engenharia, área de Concentração em Programação Matemática, Universidade Federal do Paraná, PR, Brazil.

[18] Greenwell, W.S. and Knight, J.C., 2003, "Risk-Based Classification of Incidents", 2003 Workshop on the Investigation and Reporting of Incidents and Accidents.

[19] Hawkins, H.F., 1987, "Human Factors in Flight", Gower Technical Press Ltd.

[20] International Civil Aviation Organization (ICAO), 2005, "ICAO Accident Prevention Programme", ANB - Air Navigation Bureau.

[21] International Civil Aviation Organization/Commercial Aviation Safety Team (ICAO/CAST), 2011, "CICTT Occurrence Category Definitions".

[22] Itoh, H., Mitomo, N., Matsuoka, T. and Murohara, Y,, 2004, "An Extension of M-Shel Model for Analysis of Human Factors at Ship Operation", 3rd International Conference on Collision and Grounding of Ships (ICCGS 2004), Izu, Japan.

[23] Kawano, R., 2002, "Medical Human Factor Topics", Saga Medical School, Saga, Japan.

[24] Keightley, A., 2004, "Human factors study guide", Palmerston North, Massey University, 190.216, New Zealand.

[25] Kohonen, T., 1994, "Self Organizing Maps", Springer Series in Information Sciences, Springer, Espoo, Finland.

[26] Kohonen, T. and Honkela, T., 2007, "Kohonen Network", Scholarpedia, Vol. 2, No. 1, pp. 1568.

[27] Laurino, L.S., 2004, "Rede Neural para classificação de caracteres", Instituto de Informática, PPGC - Programa de Pós-Graduação em Computação, CMP135 - Arquiteturas Especiais de Computadores, Universidade Federal do Rio Grande Do Sul, RS, Brazil.

[28] National Transportation Safety Board (NTSB), 2010, "Introduction of Glass Cockpit Avionics into Light Aircraft", Safety Study, NTSB/S-01/10.

[29] Perry, M.J. and Perezgonzalez, J.D., 2010, "SCHELL model", Page revision: 17, last edited: 22 Aug 2010, 04:55 GMT, AviationKnowledge, retrieved in 17 Aug 2011, from http://aviationknowledge.wikidot.com/aviation:schell-model
» http://aviationknowledge.wikidot.com/aviation:schell-model

[30] Reyes-Aldasoro C.C., 1998, "A Non-linear Decrease Rate to Optimise the Convergence of the Kohonen Neural Network Self-Organising Algorithm", ROCC99, Acapulco, Mexico.

[31] SOM_TOOLBOX_2, Laboratory of Computer and Information Science (CIS) Helsinki University of Technology, retrieved in 17 Aug. 2011, from http://www.cis.hut.fi/projects/somtoolbox/
» http://www.cis.hut.fi/projects/somtoolbox/

[32] Simulink/MATLAB V.7, R14/, Copyright 1984-2004, The MathWorks, Inc.

[33] Van Der Velde, R.L., 1995, "Historical Perspective, One Hundred Years of Flight Testing", Agardograph Agard AG, - rta.nato.int.

[34] Vesanto, J., Himberg J., Alhoniemi, E. and Parhankangas J., 2000, "SOM Toolbox for Matlab", Technical Report A57, Helsinki University of Technology, April 2000, retrieved in 17 Aug. 2011, from http://www.cis.hut.fi/projects/somtoolbox/
» http://www.cis.hut.fi/projects/somtoolbox/

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