Abstract
The increasing complexity of industrial systems and the increasingly severe operating constraints have forcedspecialists to design, specify and operate modern industrial processes. These evolutions thus imply the development ofintelligent supervisory and prognostic systems, for the improvement of the control of the processes and therealization of the maintenance actions. This article presents our contribution in the study and the development of aninterface of supervision and failures prediction of the Carbomill (malt mill) of the Breweries of Cameroon. Themethodological approach is based on the design of a graphical interface made under Vijeo and controlled by an PLC,programmed on Unity Pro XL and the use of an ANFIS neuro-fuzzy network as a prediction tool. The expected resultslead at the end of the learning on the evaluation by an RMSE cost function of 0.2142.
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