Towards a Neuro-Fuzzy System for time series forecasting in Maintenance Applications.

Mohamed El Koujok (1) , Rafael Gouriveau (1) , Noureddine Zerhouni (1)

1 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)

In maintenance field, industrial and research communities take a growing interest in the "undesstanding of the degradation phenomenon". Within this frame, the general purpose of the paper is to explore the way of defining a prognostic system that is able to approximate and predict the degradation of equipment. Prognostic is defined and the evolution of developments on forecasting methods is studied. A neuro-fuzzy system for failure prediciton based on the ANFIS model is closely studied and a pre-treatment of data is proposed to perform short term accurate and mid-term reliable predictions.

Domaines: Automatique / Robotique

Mohamed El Koujok, Rafael Gouriveau, Noureddine Zerhouni. Towards a Neuro-Fuzzy System for time series forecasting in Maintenance Applications.. 17th Triennal World Congress of the International Federation of Automatic Control, IFAC'08., Jul 2008, Seoul, South Korea. 6 p. ⟨hal-00298361⟩