A comparison of filter-based approaches for model-based prognostics

IEEE Aerospace Conference Proceedings

Volumn , Issue , 2012, Pages

  Daigle, Matthew ^a   Saha, Bhaskar ^b   Goebel, Kai ^a  

^a NASA AMES RESEARCH CENTER   (United States)

^b PALO ALTO RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM PERFORMANCE; DETERMINISTIC SAMPLING; DOMAIN KNOWLEDGE; END OF LIVES; FILTER-BASED; FINITE SET; NONLINEAR FILTER; PARTICLE FILTER; PHYSICS-BASED MODELS; PREDICTION PROBLEM; REMAINING USEFUL LIVES; SEQUENTIAL PROBLEMS; SIMULATION-BASED; STATE DISTRIBUTIONS; STATE OBSERVER; STATE PARAMETER ESTIMATION; UNSCENTED KALMAN FILTER; UNSCENTED TRANSFORM;

ALGORITHMS; CENTRIFUGAL PUMPS; DIAGNOSIS; NONLINEAR FILTERING; PARAMETER ESTIMATION; SYSTEMS ENGINEERING;

COMPUTER SIMULATION;

EID: 84861134313     PISSN: 1095323X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AERO.2012.6187363     Document Type: Conference Paper

References (22)

1. J. R. Celaya, C. Kulkarni, G. Biswas, S. Saha, and K. Goebel, "A model-based prognostics methodology for electrolytic capacitors based on electrical overstress accelerated aging," in Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, Sept. 2011.
2. D. Chelidze, "Multimode damage tracking and failure prognosis in electromechanical system," in Proceedings of the SPIE Conference, vol. 4733, 2002, pp. 1-12.
3. V. E. Beneš, "Exact finite-dimensional filters for certain diffusions with nonlinear drift," Stochastics An International Journal of Probability and Stochastic Processes, vol. 5, no. 1, pp. 65-92, 1981.
4. F. Daum, "Exact finite-dimensional nonlinear filters,"IEEE Transactions on Automatic Control, vol. 31, no. 7, pp. 616-622, 1986.
5. J. A. DeCastro, L. Tang, K. A. Loparo, K. Goebel, and G. Vachtsevanos, "Exact nonlinear filtering and prediction in process model-based prognostics," in Proceedings of the Annual Conference of the Prognostics and Health Management Society 2009, Sept. 2009.
6. S. J. Julier and J. K. Uhlmann, "A new extension of the Kalman filter to nonlinear systems," in Proceedings of the 11th International Symposium on Aerospace/Defense Sensing, Simulation and Controls, 1997, pp. 182-193.
7. M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking," IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 174-188, 2002.
8. M. E. Orchard, "A particle filtering-based framework for on-line fault diagnosis and failure prognosis," Ph.D. dissertation, Georgia Institute of Technology, 2007.
9. B. Saha and K. Goebel, "Modeling Li-ion battery capacity depletion in a particle filtering framework," in Proceedings of the Annual Conference of the Prognostics and Health Management Society 2009, Sept. 2009.
10. M. Daigle and K. Goebel, "Multiple damage progression paths in model-based prognostics," in Proceedings of the 2011 IEEE Aerospace Conference, Mar. 2011.
11. A. Saxena, J. Celaya, B. Saha, S. Saha, and K. Goebel, "Metrics for offline evaluation of prognostic performance,"International Journal of Prognostics and Health Management (IJPHM), vol. 1, 2010.
12. S. J. Julier and J. K. Uhlmann, "Unscented filtering and nonlinear estimation," Proceedings of the IEEE, vol. 92, no. 3, pp. 401-422, Mar. 2004.
13. G. Kitagawa, "Monte Carlo filter and smoother for non-Gaussian nonlinear state space models," Journal ofComputational and Graphical Statistics, vol. 5, no. 1, pp. 1-25, 1996.
14. J. Liu and M.West, "Combined parameter and state estimation in simulation-based filtering," Sequential Monte Carlo Methods in Practice, pp. 197-223, 2001.
15. M. Daigle and K. Goebel, "Improving computational efficiency of prediction in model-based prognostics using the unscented transform," in Annual Conference of the Prognostics and Health Management Society 2010, Oct. 2010.
16. -, "Model-based prognostics under limited sensing,"in 2010 IEEE Aerospace Conference, Mar. 2010.
17. S. E. Lyshevski, Electromechanical Systems, Electric Machines, and Applied Mechatronics. CRC, 1999.
18. A. Wolfram, D. Fussel, T. Brune, and R. Isermann, "Component-based multi-model approach for fault detection and diagnosis of a centrifugal pump," in Proceedings of the 2001 American Control Conference, vol. 6, 2001, pp. 4443-4448.
19. C. Kallesøe, "Fault detection and isolation in centrifugal pumps," Ph.D. dissertation, Aalborg University, 2005.
20. G. Biswas and S. Mahadevan, "A hierarchical modelbased approach to systems health management," in 2007 IEEE Aerospace Conference, Mar. 2007.
21. F. Tu, S. Ghoshal, J. Luo, G. Biswas, S. Mahadevan, L. Jaw, and K. Navarra, "PHM integration with maintenance and inventory management systems," in Proc. of the 2007 IEEE Aerospace Conference, Mar. 2007.
22. I. M. Hutchings, Tribology: friction and wear of engineering materials. CRC Press, 1992.