Risk analysis of small unmanned aircraft in uncertainty presence

Authors

  • Andr´é Luiz Pierre Mattei Instituto Tecnológico de Aeronáutica - ITA São José dos Campos/SP - Brasil
  • Elói Fonseca Instituto Tecnológico de Aeronáutica - ITA São José dos Campos/SP - Brasil
  • Nina Machado Figueira 13º Regimento de Cavalaria Mecanizada - 13º RCMec Pirassununga/SP - Brasil
  • Onofre Trindade Júnior Universidade de São Paulo - USP São Carlos/SP - Brasil
  • Felipe Figueira Vaz Fine Instrument Technology - FIT São Carlos/SP - Brasil

DOI:

https://doi.org/10.22480/revunifa.2014.27.565

Keywords:

Unmanned Aerial Vehicle (UAV), Remotely Piloted Aircraft (RPA), Fault Tree Analysis, Risk Analysis

Abstract

The final integration of the Remotely Piloted Aircraft (RPA) or Unmanned Aerial Vehicle (UAV) into controlled
airspace depends on the evidence of risk related to its operation be equal or less than the accepted value for
aircraft with pilots on board. The military and civilian market has broad applications for RPA, but the difficulty
of accreditation hinder its dissemination in operations, primarily for small aircraft (less than 25 kg) due to the
use of devices and COTS (Commercial Off-The Shelf ) without value or exact set of reliability, often originating
from recreational flying models. This paper presents a review of the publications made on key issues that
are necessary for the risk assessment of a system and innovates with the application of uncertainties usage
deriving from the fault tree analysis at the risk assessment. The article also demonstrates the need for increased
situational awareness in flight by means of efficient data link. Two remotely piloted aircraft, developed by the
research group of INCT-SEC, are used as examples of concepts application.

References

AGARWAL, Harish et al. Uncertainty quantification using evidence theory design optimization. Reliability Engineering & System Safety, v. 85, p. 281-294, 2004.

BRASIL. Secretaria de Aviação Civil.Agência Nacional de Aviação Civil. Regulamentos Brasileiros. Disponível em: <http://www2.anac.

gov.br/biblioteca/rbha.asp>. Acesso em: 07 de jun. 2013.

DEMPSTER, Arthur P. A generalization of Bayesian inference. Journal of the Royal Statistical Society: series B, n. 30, p. 205-247, 1968.

ERICSON, C. Fault tree analysis : a history. In: PROCEEDINGS OF THE 17TH INTERNATIONAL SYSTEM SAFETY CONFERENCE, 17., 1999,

Fórida. Proceedings… Flórida, 1999.

FIGUEIRA, Nina et al. Mission oriented sensor arrays: an approach towards UAS Usability Improvement in Practical Applications.

In: EUROPEAN CONFERENCE FOR AERONAUTICS AND SPACE SCIENCES,5., 2013, Munich. Proceedings… Munich: EUCASS, 2013.

FONSECA, Eloi; MATTEI, Andre P; CUNHA, Wagner C. Adaptative integration systems using FPGA COTS devices. In: EUROPEAN CONFERENCE FOR AERONAUTICS AND SPACE SCIENCES, 5., 2013, Munich. Proceedings… Munich: EUCASS, 2013.

GRIMSLEY, Frank M. Equivalent Safety using Casualty Expection Approuch. In: UNMANNED UNLIMITED: TECHNICAL CONFERENCE, 3.,

, Chicago, Illinois. Proceedings… Chicago, Illinois: AAIA, 2004. Disponível em: . Acesso em: 07 jun. 2013.

JACOB, Christelle; DUBOIS, Didier; CARDOSO, Janette. Evaluating the Uncertainty of a Boolean Formula with Beleif Functions. In: International Conference on Information Processing and Management of Uncertainty in KnowledgeBased Systems, 14., 2012, Catania, Italy. Proceedings… Catania, Italy: IPMU, 2012. p. 521-531. Part III.

LUM, Christopher; WAGGONER, Blake. A risk based paradigm and model for unmanned aerial systems in the national airspace. In:

INFOTECH@AEROSPACE, 2011, St Louis, Missouri. Proceedings... St Louis, Missouri: AAIA, 2011.

MATTEI, Andre P. et al. UAV In-Flight Awareness: a tool to improve safety. In: EUROPEAN CONFERENCE FOR AERONAUTICS AND SPACE SCIENCES, 5., 2013, Munich. Proceedings… Munich: EUCASS, 2013.

MURTHA, Justin F. Evidence Theory and Fault Tree Analysis to Cost-Effectively Improve Reliability in Small UAV Design. Virginia: Virginia

Polytechnic, 2009.

OBERKAMPF, W. et al. A new methodology for the estimation of total uncertainty in computational simulation. In: NON-DETERMINISTIC

APPROACHES FORUM, 1999. Proceedings… AAIA, 1999.

OBERKAMPF, W. et al. Variability, uncertainty, and error in computational simulation. In: 7TH AIAA/ASME JOINT THERMOPHYSICS AND

HEAT TRANSFER CONFERENCE, 7., 1998, Albuquerque, NM, USA. Proceedings… Albuquerque, NM, USA: AAIA, 1998. 357-2, p. 259–72, 1998.

OBERKAMPF, W.; HELTON, J.; SENTZ, K. Mathematical representation of uncertainty. In: NON-DETERMINISTIC APPROACHES FORUM, 2001, Seattle. Proceedings… Seattle: AIAA, 2001.

SHAFER, Glenn. A Mathematical Theory of Evidence. Princeton: Princeton University Press, 1976.

WEIBEL, Roland E.; HANSMAN, John. Safety considerations for operation of different classes of UAVs in the NAS. In: AVIATION TECHNOLOGY, INTEGRATION AND OPERATIONS, ATIO Forum, 4., 2004, Chicago, Illinois. Proceedings… Chicago, Illinois: AAIA, 2004

Published

2014-06-01

Issue

Section

Original Articles

How to Cite

Risk analysis of small unmanned aircraft in uncertainty presence. The Journal of the University of the Air Force , Rio de Janeiro, v. 27, n. 34, 2014. DOI: 10.22480/revunifa.2014.27.565. Disponível em: https://revistadaunifa.fab.mil.br/index.php/reunifa/article/view/565.. Acesso em: 19 sep. 2024.

Similar Articles

1-10 of 298

You may also start an advanced similarity search for this article.