title: Set-membership methodology for model-based prognosis.
abstract: 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.
authors: MACS Laboratory : Modeling, Analysis and Control of Systems LR16ES22, National Engineering School of Gabes (ENIG), University of Gabes, Tunisia.. Electronic address: yousfi.besma@gmail.com.
authors: Basma
authors: B
authors: Yousfi
authors: Conservatoire National des Arts et Métiers (CNAM), Cedric-Lab. 292, Rue St-Martin, 75141 Paris Cedex 03, France. Electronic address: tarek.raissi@cnam.fr.
authors: Tarek
authors: T
authors: Raïssi
authors: MACS Laboratory : Modeling, Analysis and Control of Systems LR16ES22, National Engineering School of Gabes (ENIG), University of Gabes, Tunisia.. Electronic address: amairi.messaoud@ieee.org.
authors: Messaoud
authors: M
authors: Amairi
authors: MACS Laboratory : Modeling, Analysis and Control of Systems LR16ES22, National Engineering School of Gabes (ENIG), University of Gabes, Tunisia.. Electronic address: mohamed.aoun@enig.rnu.tn.
authors: Mohamed
authors: M
authors: Aoun
keywords: Damage; Interval observers; Prognosis; Remaining useful life; Singularly perturbed systems