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

Authors

  • Timothee KOMBE Laboratory of Energy, Materials, Modeling and Methods Doctoral Training Unit of the Sciences of the Engineer Department of Automotive Technology University of Douala PO Box 8698 Douala, Cameroon
  • Sandra NZENEU Laboratory of Energy, Materials, Modeling and Methods Doctoral Training Unit of the Sciences of the Engineer Department of Automotive Technology University of Douala PO Box 8698 Douala, Cameroon

DOI:

https://doi.org/10.31695/IJASRE.2019.33491

Keywords:

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

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 in 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 an 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.

Published

2019-10-05

How to Cite

KOMBE, T., & NZENEU, S. . (2019). Graphical Interfaces for Dynamic Supervision for Failures Prognosis using the AI-PLC Combinatorial Approach: The Case Study of Cameroon Breweries Mill. I. J. Of Advances in Scientific Research and Engineering-IJASRE (ISSN: 2454 - 8006), 5(10), 07-16. https://doi.org/10.31695/IJASRE.2019.33491