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[RMR18] Model-based prognosis of fatigue crack growth under variable amplitude loading
Conférence Internationale avec comité de lecture : 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, August 2018, pp.., Warsaw, Poland,Mots clés: Model-based prognosis ; unknown inputs estimation ; particle filter ; uncertainty propagation ; fatigue crack growth ; composite materials
Résumé:
In this paper, a model-based prognosis method using a particle filter that takes
model uncertainty, measurement uncertainty and future loading uncertainty into account is
proposed. A nonlinear analytical model of the degradation that depends on loading parameters
is established, and then a particle filter is used to estimate and forecast these unknown inputs at
the same time as the degradation state. Moreover, adding to this joint input-state estimation,
a two-sided CUSUM algorithm is implemented to detect load variations. This would help the
prognosis module to adapt to a change in the degradation state evolution, in order to correct the
remaining useful life prediction. Real data from fatigue tests on fiber-reinforced metal matrix
composite materials are used to demonstrate the efficiency of the proposed methodology for
crack growth prognosis.
BibTeX
| @inproceedings { | |||
| RMR18, | |||
| title | = | "{Model-based prognosis of fatigue crack growth under variable amplitude loading}", | |
| author | = | " E. Robinson and J. MARZAT and T. Raïssi ", | |
| booktitle | = | "{10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes}", | |
| year | = | 2018, | |
| month | = | "August", | |
| pages | = | ".", | |
| address | = | "Warsaw, Poland", | |
| } | |||
