Impact of input uncertainty on failure prognostic algorithms: Extending the remaining useful life of nonlinear systems

Annual Conference of the Prognostics and Health Management Society, PHM 2010

Volumn , Issue , 2010, Pages

  Edwards, Derek ^a   Orchard, Marcos E ^b   Tang, Liang ^c   Goebel, Kai ^d   Vachtsevanos, George ^a,c  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF CHILE   (Chile)

^c IMPACT TECHNOLOGIES LLC   (United States)

^d NASA AMES RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS;

AIRCRAFT COMPONENTS; CORRECTION SCHEMES; FAILURE PROGNOSTICS; FEED-BACK CORRECTION; LONG-TERM PREDICTION; NON-GAUSSIAN SYSTEMS; REMAINING USEFUL LIVES; UNCERTAINTY MEASURES;

NONLINEAR FEEDBACK;

EID: 84920540188     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. C. Andrieu, A. Doucet, and E. Punskaya, "Sequential Monte Carlo Methods for Optimal Filtering, " in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds. NY: Springer-Verlag, 2001.
2. 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, Feb. 2002, pp. 174-188.
3. T.A. Cruse, "Probabilistic Systems Modeling and Validation, " HCF 2004, March 16-18, 2004.
4. A. Doucet, "On sequential Monte Carlo methods for Bayesian Filtering, " Technical Report, Engineering Department, Univ. Cambridge, UK, 1998.
5. A. Doucet, N. de Freitas, and N. Gordon, "An introduction to Sequential Monte Carlo methods, " in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds. NY: Springer-Verlag, 2001.
6. N. Khiripet, G. Vachtsevanos, A. Thakker, and T. Galie, "A New Confidence Prediction Neural Network for Machine Failure Prognosis", Proceedings of Intelligent Ships Symposium IV, Philadelphia, PA, April 2-3, 2001.
7. M. Orchard, B. Wu, and G. Vachtsevanos, "A Particle Filter Framework for Failure Prognosis", Proceedings of World Tribology Congress III, Washington DC, Sept. 12-16, 2005.
8. M. Orchard, G. Kacprzynski, K. Goebel, B. Saha, and G. Vachtsevanos, "Advances in Uncertainty Representation and Management for Particle Filtering Applied to Prognostics, " 2008 International Conference on Prognostics and Health Management PHM 2008, Denver, CO, USA, October 9-12, 2008.
9. M. Orchard, On-line Fault Diagnosis and Failure Prognosis Using Particle Filters. Theoretical Framework and Case Studies, Publisher: VDM Verlag Dr. Müller Aktiengesellschaft & Co. KG, Saarbrücken, Germany, April 2009, 108 pages. Atlanta: The Georgia Institute of Technology, Diss., 2007.
10. R. Patrick, M. Orchard, B. Zhang, M. Koelemay, G. Kacprzynski, A. Ferri, and G. Vachtsevanos, "An Integrated Approach to Helicopter Planetary Gear Fault Diagnosis and Failure Prognosis, " 42nd Annual Systems Readiness Technology Conference, AUTOTESTCON 2007, Baltimore, USA, September 2007.
11. G. Shafer, A mathematical theory of evidence, Princeton, N.J: Princeton University Press, 1976.
12. G. Vachtsevanos, F.L. Lewis, M.J. Roemer, A. Hess, and B. Wu, Intelligent Fault Diagnosis and Prognosis for Engineering Systems, Hoboken, NJ, John Wiley and Sons, 2006.
13. B. Zhang, T. Khawaja, R. Patrick, M. Orchard, A. Saxena, and G. Vachtsevanos, "A Novel Blind Deconvolution De-Noising Scheme in Failure Prognosis, " IEEE Transactions on Instrumentation and Measurement, vol. 58, no. 2, pp. 303-310, February 2009.