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[YRA16] Set-membership methodology for model-based prognosis
Revue Internationale avec comité de lecture : Journal ISA Transactions, pp. ., 2016Mots clés: Uncertainties, prognosis, interval observers, robustness
Résumé:
This paper addresses model-based prognosis to predict Remaining Useful Life
(RUL) of a class of dynamical systems. The methodology is based on singular
perturbed techniques to take into account the slow behavior of degradations.
The full-order system is firstly decoupled into slow and fast subsystems. An
interval observer is designed for both subsystems under the assumption that
the measurement noise and the disturbances are bounded. Then, the degradation
is modeled as a polynomial whose parameters are estimated using ellipsoid
algorithms. Finally, the RUL is predicted based on an interval evaluation of
the degradation model over a time horizon. A numerical example illustrates the
proposed technique.
BibTeX
| @article { | |||
| YRA16, | |||
| title | = | "{Set-membership methodology for model-based prognosis}", | |
| author | = | "B. Yousfi and T. Raïssi and M. Amairi and M. Aoun", | |
| journal | = | "ISA Transactions", | |
| year | = | 2016, | |
| pages | = | ".", | |
| } | |||
