Remaining useful life prediction for ball bearings based on health indicators

Zeina Al Masry, Patrick Schaible, Noureddine Zerhouni, Christophe Varnier, N. Moubayed
2019 MATEC Web of Conferences  
Uncertainty in remaining useful life (RUL) prediction is nowadays a scientific problem that occupies industrials. Many prognostic models have been developed to respond to this issue from probabilistic to non-probabilistic approaches. In this paper, we deal with a nonprobabilistic model for RUL prediction. For this purpose, we propose a model, which is based on health indicators information, that allows to estimate the RUL of ball bearings. The method is applied to simulated data provided by the
more » ... PRONOSTIA platform designed and realized at AS2M department of FEMTO-ST Institute.
doi:10.1051/matecconf/201926102003 fatcat:cquzcwpadrftbazbhmpyxkzr2q