Abstract
In this paper, we are concerned by the improvement of the safety and the reliability of dynamical systems subjected to slow degradations. We propose a new prognosis strategy which aims at an efficient predictive maintenance by providing an estimation of the future state of the system. The prognosis method is based on an appropriated supervision technique which consists in drift tracking of the dynamical systems using AUDyC an auto-adaptative dynamical classifier. The proposed prognosis method is compared with a prognosis method based on the ANFIS approach (Adaptive Neuro Fuzzy Inference Sytem). These two prognosis methods are implemented and applied to a temperature controller.
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