Remaining useful life estimation on the non-homogenous gamma with noise deterioration based on Gibbs filtering: A case study

PHM 2012 - 2012 IEEE Int. Conf.on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHM Technology and Application, Conference Program

Volumn , Issue , 2012, Pages

  Le Son, Khanh ^a   Fouladirad, Mitra ^a   Barros, Anne ^a  

^a UNIVERSITÉ DE TECHNOLOGIE DE TROYES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE GAUSSIAN NOISE; APPLICATION DOMAINS; CONDITION BASED MAINTENANCE; DEGRADATION STATE; DETERIORATION PHENOMENA; GAMMA PROCESS; GIBBS SAMPLERS; LIFE-TIME DISTRIBUTION; NOISY OBSERVATIONS; NON-PROBABILISTIC; PROBABILISTIC APPROACHES; PROBABILISTIC METHODS; PROPORTIONAL HAZARDS MODEL; REMAINING USEFUL LIVES; RESIDUAL LIFETIME; SCIENTIFIC COMMUNITY; STOCHASTIC FILTERING; USEFUL LIFETIME;

DETERIORATION; GAUSSIAN NOISE (ELECTRONIC); HIDDEN MARKOV MODELS; RANDOM PROCESSES; SYSTEMS ENGINEERING;

PROBABILITY DISTRIBUTIONS;

EID: 84868238141     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPHM.2012.6299520     Document Type: Conference Paper

References (18)

1. A. Saxena, K. Goebel, D. Simon, and N. Eklund, "Damage Propagation Modeling for Aircraft Engine Run-to-Failure Simulation," in Proceedings of 2008 International Conference on Prognostics and Health Management, 2008.
2. D. Brown, P. Kalgren, C. Byington, and M. Roemer, "Electronic prognostics-A case study using global positioning system (GPS)," Microelectronics Reliability, vol. 47, no. 12, pp. 1874-1881, 2007.
3. A. Abu-Hanna and P. Lucas, "Prognostic models in medicine," Methods of Information in Medicine-Methodik der Information in der Medizin, vol. 40, no. 1, pp. 1-5, 2001.
4. J. Van Noortwijk, "A survey of the application of gamma processes in maintenance," Reliability Engineering & System Safety, vol. 94, no. 1, pp. 2-21, 2009.
5. J. Lawless and M. Crowder, "Covariates and random effects in a gamma process model with application to degradation and failure," Lifetime Data Analysis, vol. 10, no. 3, pp. 213-227, 2004.
6. N. Singpurwalla, "Gamma processes and their generalizations: an overview," Engineering Probabilistic Design and Maintenance for Flood Protection, pp. 67-75, 1997.
7. X. Wang, G. Yu, M. Koc, and J. Lee, "Wavelet neural network for machining performance assessment and its implications to machinery prognostics," in Proceedings of the 5th International Conference on Managing Innovations in Manufacturing (MIM), 2002.
8. N. Gebraeel, M. Lawley, L. Rong, and K. JENNIFER, "Residual-life distributions from component degradation signals: A bayesian approach," IIE Transactions, vol. 37, no. 6, pp. 543-557, 2005.
9. J. Yan, J. Lee, and M. Koc, "Predictive algorithm for machine degradation detection using logistic regression," in 5th International Conference on Managing Innovations in Manufacturing, vol. 2001. Milwaukee, Wisconisn, USA:[sn], 2002, pp. 172-178.
10. K. Le Son, M. Fouladirad, A. Barros, E. Levrat, and B. Iung, "Remaining useful life estimation based on probabilistic model," in 17th ISSAT International Conference on Reliability and Quality in Design, Vancouver, Canada, 2011.
11. G. Casella and E. George, "Explaining the Gibbs sampler," American Statistician, vol. 46, no. 3, pp. 167-174, 1992.
12. L. Tierney, "Markov chains for exploring posterior distributions," the Annals of Statistics, vol. 22, no. 4, pp. 1701-1728, 1994.
13. B. Ripley, Stochastic simulation. Wiley Online Library, 1987, vol. 183.
14. A. Gelman and D. Rubin, "Inference from iterative simulation using multiple sequences," Statistical science, vol. 7, no. 4, pp. 457-472, 1992.
15. S. Brooks and G. Roberts, "Convergence assessment techniques for markov chain monte carlo," Statistics and Computing, vol. 8, no. 4, pp. 319-335, 1998.
16. L. Peel, "Data driven prognostics using a kalman filter ensemble of neural network models," in Prognostics and Health Management, 2008. PHM 2008. International Conference on, 2008, pp. 1-6.
17. F. Heimes, "Recurrent neural networks for remaining useful life estimation," in Prognostics and Health Management, 2008. PHM 2008. International Conference on, 2008, pp. 1-6.
18. T. Wang, J. Yu, D. Siegel, and J. Lee, "A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems," in Prognostics and Health Management, 2008. PHM 2008. International Conference on, 2008, pp. 1-6.