Particle filter prognostic applied in landing gear retraction

PHM 2013 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2013

Volumn , Issue , 2013, Pages 616-623

  Cerdeira, Paula Borges Olivio ^a   Galvão, Roberto Kawakami Harrop ^b   Malère, João Pedro Pinheiro ^a  

^a EMBRAER S A   (Brazil)

^b INSTITUTO TECNOLÓGICO DE AERONÁUTICA   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT LANDING; GEARS; MONTE CARLO METHODS; SYSTEMS ENGINEERING;

AIRCRAFT AVAILABILITY; CONDITION BASED MAINTENANCE; CONFIDENCE LEVELS; HEALTH MONITORING; PARTICLE FILTER; REMAINING USEFUL LIVES;

LANDING GEAR (AIRCRAFT);

EID: 84920508611     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. ACARE « (Advisory Council for Aeronautics Research in Europe), et al. Aeronautics and Air Transport: Beyond Vision 2020 (Towards 2050). 2010», http://ec.europa.eu/research/transport/pdf/acare-background-2010-en.pdf, accessed 02/02/2013
2. An, D., Choi, J.H. & Kim, N. (2013). Prognostics 101: A Tutorial for Particle Filter-Based Prognostics Algorithms Using Matlab. Reliability Engineering and System Safety, vol. 115, pp. 161-169.
3. Airnation.net «NTSB Issues Update into Southwest Flight 345 Accident at LaGuardia Airport in New York», http://airnation.net/2013/07/26/ntsb-southwest-345-update, accessed 09/03/ 2013
4. Azimi-Sadjadi, M.R. et al. Underwater target classification using wavelet packets and neural networks. IEEE Transactions on Neural Networks, vol. 11. n.3, 2000. Camci, F., Valentine, G., Navarra, K. (2007).
5. Camci, F., Valentine, G., Navarra, K. (2007).Methodologies for Integration of PHM System with Maintenance Data. IEEE Aerospace Conference, Big Sky
6. Denery, T., et al. (2006). Creating Flight Simulator Landing Gear Models Using Multidomain Modeling Tools. The MathWorks, Inc.
7. Goebel, K., et al. (2008). Prognostics in Battery Health Management. IEEE Instrumentation and Measurements Magazine, vol. 11(4), pp.33-40.
8. Ji, G., Zhang, L. & Dong M. (2011). Dynamic simulation on retraction\ extension system of an aircraft. Proceedings of Prognostics and System Health Management Conference, Shenzhen.
9. Kalgren, P., et al. (2006). Defining PHM, a lexical evolution of maintenance and logistics. IEEE Aerospace Conference, Big Sky.
10. Khuzadi, M. (2008). On Health Monitoring. IEEE Aerospace Conference, Big Sky.
11. Nasa, « Batteries Prognostic-Particle Filtering», http://ti.arc.nasa.gov/tech/dash/pcoe/batteryprognostics/algorithms /, accessed 05/11/ 2013
12. Oliva, G. M., et al. (2012). Prognostics Assessment Using Fleet-wide Ontology. Proceedings of International Conference on Prognostics and Health Management, Minneapolis.
13. Orchard, M. & Vachtsevanos, G. (2009). A Particle Filtering Approach for Online Fault Diagnosis and Failure Prognosis. Transactions of the Institute of Measurement and Control, no. 3-4, p. 221-246.
14. Papakostas, N. et al. (2010). An Approach to Operational Aircraft Maintenance Planning. Decision Support Systems, Vol. 48, Issue 4, Elsevier Science Publishers B.
15. Rodrigues, L. R., Yoneyama, T. & Nascimento Jr., C. L. (2012). How Aircraft Operators Can Benefit from PHM Techniques. IEEE Aerospace Conference, Big Sky.
16. Saha, B. & Goebel, K. (2009). Modeling Li-Ion battery capacity depletion in a particle filtering framework. Proceedings of International Conference on Prognostics and Health Management, San Diego.
17. Vachtsevanos, G., Lewis, F.L., Roemer, M., Hess, A., & Wu, B. (2006). Intelligent Fault Diagnosis and Prognosis for Engineering Systems. Hoboken, NJ: John Wiley & Sons, Inc
18. Zhou, Y., Yunxia, C. & Rui, K. (2011). A Study of Aircraft Landing Gear Testing System on PHM. Prognostics and System Health Management Conference, Shenzhen.