Least Squares-Filtered Bayesian Updating for Remaining Useful Life Estimation

@inproceedings{Coppe2010LeastSB,
  title={Least Squares-Filtered Bayesian Updating for Remaining Useful Life Estimation},
  author={Alexandra Coppe and Raphael T. Haftka and N. Kim},
  year={2010}
}
Information on damage size and growth obtained using structural health monitoring can be used to estimate remaining useful life (RUL). Damage growth information may also be used to improve the characterization of the material properties that govern damage propagation for the structure being monitored, turning aircraft into flying fatigue laboratories. These properties are often widely distributed between nominally identical structures because of differences in manufacturing processes and aging… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 37 references

Computational methods for fracture mechanics and probabilistic fatigue

H. H. Harkness
Journal of Fatigue, • 2009

Detection and Prognostics on Low-Dimensional Systems

IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) • 2009

Fatigue life scatter in 7 xxx series aluminum alloys ”

D. L. DuQuesnay, P. R. Underhill
International Journal of Fatigue • 2009

Are the Paris ' law parameters dependent on each other ?

A. Carpinteri, M. Paggi
2008

Being Conservative with a Limited

E. Acar, R. T. Haftka, N. H. Kim, P. G. Ifju, T. F. Johnson
Strutturale, • 2008

Prognostics, the real issues involved with predicting

S. J. Engel, B. J. Gilmartin, K. Bongort, A. Hess
IEEE Aerospace Conference, • 2008

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