@article{KOMBE_NZENEU_2019, title={Graphical Interfaces for Dynamic Supervision for Failures Prognosis using the AI-PLC Combinatorial Approach: The Case Study of Cameroon Breweries Mill}, volume={5}, url={https://ijasre.net/index.php/ijasre/article/view/626}, DOI={10.31695/IJASRE.2019.33491}, abstractNote={<p>The increasing complexity of industrial systems and the increasingly severe operating constraints have forced<br>specialists to design, specify and operate modern industrial processes. These evolutions thus imply the development of<br>"intelligent" supervisory and prognostic systems, for the improvement of the control of the processes and the<br>realization of the maintenance actions. This article presents our contribution in the study and the development of an<br>interface of supervision and failures prediction of the Carbomill (malt mill) of the Breweries of Cameroon. The<br>methodological approach is based on the design of a graphical interface made under Vijeo and controlled by an PLC,<br>programmed on Unity Pro XL and the use of an ANFIS neuro-fuzzy network as a prediction tool. The expected results<br>lead at the end of the learning on the evaluation by an RMSE cost function of 0.2142.</p>}, number={10}, journal={ International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE}, author={KOMBE, Timothee and NZENEU, Sandra}, year={2019}, month={Oct.}, pages={07–16} }