International Journal of Advances in Scientific Research and Engineering-IJASRE

Graphical Interfaces for Dynamic Supervision for Failures Prognosis using the AI-PLC Combinatorial Approach: The Case Study of Cameroon Breweries Mill

Article Category: Automation and Robotics

DOI: 10.31695/IJASRE.2019.33491

Pages: 7-16

Author: Timothee KOMBE,Sandra NZENEU

Abstract:

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

Keyword: Graphical interface, Dynamic Supervision, Prognosis, Programmable Logic Controller, Artificial Intelligence, Neuro-fuzzy networks.

This work is licensed under a Creative Commons Attribution 4.0 (International) Licence. (CC BY-NC 4.0)
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