Damage trajectory analysis based prognostic

2008 International Conference on Prognostics and Health Management, PHM 2008

Volumn , Issue , 2008, Pages

  Peysson, Flavien ^a   Ouladsine, Mustapha ^a   Outbib, Rachid ^a   Leger, Jean Baptiste ^b   Myx, Olivier ^c   Allemand, Claude ^c  

^a AIX MARSEILLE UNIVERSITY   (France)

^b PREDICT   (France)

^c DCNS RESEARCH   (France)

Author keywords

Maintenance; Prediction methods

Indexed keywords

LIFE CYCLE; MAINTENANCE;

CURRENT SYSTEMS; DAMAGE STATES; HIGH AVAILABILITY (HA); MAINTENANCE POLICIES; OWNERSHIP COSTS; PREDICTION METHODS; SYSTEM DAMAGE; SYSTEM DECOMPOSITION; TRAJECTORY ANALYSIS;

MAINTAINABILITY;

EID: 58449100263     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PHM.2008.4711428     Document Type: Conference Paper

References (30)

1. C. S. Byington, P. W. Kalgren, R. Johns, and R. J. Beers, "Prognosis enhancements to diagnostic system for improved condition based maintenance," in IEEE Systems Readiness Technology Conference, AU-TOTESTCON, California, USA, Sep. 2003, pp. 320-329.
2. M. Lebold and M. Thurston, "Open standards for condition-based maintenance and prognostic systems," in 5th Annual Maintenance and Reliability Conference, MARCON, Gatlinburg, USA, 2001.
3. G. J. Vachtsevanos, M. Lewis Frank L.and Roemer, A. Hess, and W. Biqing, Intelligent Fault Diagnosis and Prognosis for Engineering Systems. Hoboken, N.I: John Wiley & Sons, 2006.
4. D. E. Adams, "Nonlinear damage models for diagnosis and prognosis in structural dynamic systems," in SPIE Conference, vol. 4733, 2002, pp. 180-191.
5. W. Q. Meeker and L. A. Escobar, Statistical methods for reliability data. Wiley New York, 1998.
6. P. Hall and J. Strutt, "Probabilistic physics-of-failure models for component reliabilities using monte carlo simulation and weibull analysis: a parametric study," Reliability Engineering and System Safety vol. 80, pp. 233-242, Jun. 2003.
7. J. Lee, "Measurement of machine performance degradation using a neural network model." Computers in Industry, vol. 30, no. 3, pp. 193-209, 1996.
8. J. Luo. M. Namburu, K. Pattipati, L. Qiao, M. Kawamoto, and S. Chi-gusa, "Model-based prognostic techniques," in IEEE Systems Readiness Technology Conference, AUTOTESTCON, vol. 6, California, USA, Sep. 2003.
9. D. Chelidze, "Multimode damage tracking and failure prognosis in electromechanical system," in SPIE Conference, vol. 4733, 2002, pp. 1-12.
10. C. S. Byington, M. J. Roemer, and T. R. Galie. "Prognosis enhancements to diagnostic system for improved condition based maintenance," in IEEE Aerospace Conference, vol. 6, 2002, pp. 2815-2824.
11. M. J. Roemer, C. S. Byington, G. J. Kacprzynski, and G. Vachtsevanos, "An overview of selected technologies with reference to integrated phm architecture," in First International Forum on Integrated System Health Engineering and Management in Aerospace, Napa Valley, California, USA, Oct. 2005.
12. F. L. Greitzer and R. A. Pawlowski, "Embedded prognostics health monitoring," in International Instrumentation Symposium, May 2002.
13. 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, M1M, Milwaukee, Wisconsin. USA, Sep. 2002, pp. 172 178.
14. D. Jarrell, D. Sisk, and L. Bond, "Prognostics and condition based maintenance, a scientific crystal ball," in International Congress on Advanced Nuclear Power Plants, ICAPP, Jun. 2002.
15. T. Brotherton, G. Jahns, J. Jacobs, and D. Wroblewski, "Prognosis of faults in gas turbine engines," in IEEE Aerospace Conference, vol. 6, 2000, pp. 163-171.
16. X. Wang, G. Yu, M. Koc, and J. LEE, "Wavelet Neural Network for Machining Performance Assessment and Its Implications to Machinery Prognostics," Proceedings of the 5th International Conference on Managing Innovations in Manufacturing (MIM), 2002.
17. A. E. Smith, D. W. Coit, and Y.-C. Liang, "A neural network approach to condition based maintenance: Case study of airport ground transportation vehicles," Department of Industrial and Systems Engineering, Auburn University, Tech. Rep., 2002.
18. T. Denoeux, M. Masson, and B. Dubuisson, "Advanced pattern recognition techniques for system monitoring and diagnosis: A survey," Journal européen des svstèmes automatisés, vol. 31, no. 9-10, pp. 1509-1539, 1997.
19. S. Yang, "An experiment of state estimation for predictive maintenance using kalman filter on a dc motor." Reliability Engineering and System Safety, vol. 75, pp. 103-111. 2002.
20. G. Kacprzynski, M. Roemer, G. Modgil, A. Palladino, and K. Maynard, "Enhancement of physics-of-failure prognostic models with system level features," Aerospace Conference Proceedings, 2002, IEEE, vol. 6, 2002.
21. V. Kopnov, "Optimal degradation processes control by two-level policies," Reliability Engineering and System Safety, vol. 66, no. 1. pp. 1-11, 1999.
22. A. Grail, C. Bérenguer, and L. Dieulle. "A condition-based maintenance policy for stochastically deteriorating systems," Reliability Engineering and System Safety, vol. 76, no. 2, pp. 167-180, 2002.
23. A. Glade, "Modélisation des couts de cycle de vie : prévision des couts de maintenance et de la fiabilité, Application à 1'aéronautique," Ph.D. dissertation, Ecole Centrale de Lyon, France, Jan. 2005.
24. S. Martorell, A. Sanchez, and V. Serradell, "Age-dependent reliability model considering effects of maintenance and working conditions," Reliability Engineering and System Safety, vol. 64, pp. 19-3 1, Apr. 1999.
25. D. Coit and J. English, "System reliability modeling considering the dependence of component environmental influences." Reliability and Maintainability Symposium, 1999. Proceedings. Annual, pp. 214-218, 1999.
26. M. S. Finkelstein, "Wearing-out of components in a variable environment," Reliability Engineering and System Safety, vol. 66, no. 3, pp. 235-242, 1999.
27. A. Müller, "Contribution la maintenance prévisionnelle des systémes de production par la formalisation d'un processus de prognostic," Ph.D. dissertation, Université Henri Poincaré - Nancy I, France, Jun. 2005.
28. F. Peysson, M. Ouladsine, H. Noura, J.-B. Leger, and C. Allemand, "New approach to prognostic system failures," in 17th IFAC World Congress, Seoul, Korea, Jul. 2008, p. Accepted for publication.
29. F. Peysson, M. Ouladsine, R. Outbib, and J.-B. Leger. "Pronostic de l'état de dégradation d'un système complexe," in CIFA, Conference Internationale Francophone d'Automatiuue, Bucarest, Roumania, Sep. 2008, p. Accepted for publication.
30. G. Provan, "An open systems architecture for prognostic inference during condition-based monitoring," Aerospace Conference, 2003. Proceedings. 2003 IEEE, vol. 7, 2003.