Abstract
In the world of the 4th industrial revolution and in order to master the production tools, the company must have a relevant maintenance management system. Therefore, it is necessary to research and develop new maintenance approaches in the context of Industry 4.0, in order to digitize the manufacturing process and generate information to detect failures and act in real time. This paper aims to present the draft of an implementation approach for an intelligent platform of industrial maintenance, aligned with the principles of Industry 4.0. This platform consists in acquiring and conditioning the data to analyze them in order to detect failures and to estimate the time of the good functioning of a device. Then the choice of the appropriate procedure is provided by the decision support, which sends it in turn for it to be planned and executed. Finally, an evaluation module to check the smooth execution.
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Bourezza, E.M., Mousrij, A. (2021). Towards a Platform to Implement an Intelligent and Predictive Maintenance in the Context of Industry 4.0. In: Masrour, T., Cherrafi, A., El Hassani, I. (eds) Artificial Intelligence and Industrial Applications. A2IA 2020. Advances in Intelligent Systems and Computing, vol 1193. Springer, Cham. https://doi.org/10.1007/978-3-030-51186-9_3
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DOI: https://doi.org/10.1007/978-3-030-51186-9_3
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