Filtering and prediction techniques for model-based prognosis and uncertainty management

2010 Prognostics and System Health Management Conference, PHM '10

Volumn , Issue , 2010, Pages

  Tang, Liang ^a   Decastro, Jonathan ^a   Kacprzynski, Greg ^a   Goebel, Kai ^b   Vachtsevanos, George ^c  

^a IMPACT TECHNOLOGIES LLC   (United States)

^b NASA AMES RESEARCH CENTER   (United States)

^c GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSTIC INFORMATION; FAILURE PROCESS; FILTERING FRAMEWORK; MODEL-BASED; MULTIPLE-MODEL FILTERING; PARTICLE FILTERING; PREDICTION TECHNIQUES; PROGNOSTIC MODEL; SIMULATION RESULT; SYSTEM DAMAGE; UNCERTAINTY MANAGEMENT;

NONLINEAR FILTERING;

DATA FLOW ANALYSIS;

EID: 77950666710     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PHM.2010.5413490     Document Type: Conference Paper

References (14)

1. Vachtsevanos, G. et al, Intelligent Fault Diagnosis and Prognosis for Engineering Systems. WILEY, (2006)
2. DeCastro, J. A., Tang, L., Loparo, K. A., Goebel, K. and Vachtsevanos, G., "Exact Nonlinear Filtering and Prediction in Process Model-Based Prognostics," Annual Conference of the Prognostics and Health Management Society 2009, San Diego, CA September 27 - October 1, 2009.
3. Orchard, M. E., Tang, L., Goebel, K., and Vachtsevanos, G., "A Novel RSPF Approach to Prediction of High-Risk, LowProbability Failure Events," Annual Conference of the Prognostics and Health Management Society 2009, San Diego, CA September 27 - October 1, 2009.
4. Goebel, K., Saha, B., Saxena, A., Celaya, J. R. and Christophersen, J. P. "Prognostics in battery health management," IEEE Instrumentation & Measurement Magazine, Vol.11 (2008), pages 33-40.
5. Daum, F. E. "Solution of the zakai equation by separation of variables," IEEE Trans, on Automatic Control, Vol.32(10):941-943, October 1987.
6. Miner, S. K. Lectures on nonlinear filtering and stochastic control. In S. K. Mitter and A. Moro, editors, Nonlinear Filtering and Stochastic Control, pages 170-207. New York: Springer-Verlag, (1983)
7. Daum, F. E. "Exact finite-dimensional nonlinear filters," IEEE Trans, on Automatic Control, Vol.31(7):616-622, July 1986.
8. Benes, V. E. "Exact finite-dimensional for certain diffusions with nonlinear drift," Stochastics, Vol.5 (1/2):65-92, 1981.
9. Tang, L., Kacprzynski, G. J., Goebel, K., Saxena, A., Saha, B., and Vachtsevanos, G., "Prognostics-enhanced Automated Contingency Management for Advanced Autonomous Systems," International Conference on Prognostics and Health Management, October, 2008.
10. Orchard, M., Kacprzynski, G., Goebel, K., Saha, B., and Vachtsevanos, G., "Advances in Uncertainty Representation and Management for Particle Filtering Applied to Prognostics," International Conference on Prognostics and Health Management, Denver, CO. October 6-9, 2008.
11. Musso, C., Oudjane, N., and Le Gland, F., "Improving regularized particle filters," in Sequential Monte Carlo Methods in Practice. Doucet, A., De Frietas, N., and Gordon, N., Eds. New York: Springer-Verlag, (2001)
12. Tang, L., Kacprzynski, G. J., Goebel, K., and Vachtsevanos G. "Methodologies for Uncertainty Management in Prognostics," IEEE Aerospace Conference, Big Sky, Montana, March 7-14, 2009.
13. Saxena, A., Celaya, J., Balaban, E., Goebel, K., Saha, B., Saha, S., and Schwabacher, M. "Metrics for Evaluating Performance of Prognostic Techniques", Intl. Conf. on Prognostics and Health Management, October 2008.
14. Uckun, S., Goebel, K. and Lucas, P., "Standardizing Research Methods for Prognostics," International Conference on Prognostics and Health Management, Denver, CO. October, 2008.