This article examines the theoretical and practical aspects of the integration of artificial intelligence (AI) and mathematical modeling for the production sector. Also, in the context of modern Industry 4.0, the processes of machine learning and predicting failures using mathematical algorithms based on large volumes of IoT data in real time, virtual simulation and optimization of processes using digital twins technology are analyzed.  

Mathematical modeling, artificial intelligence, mathematical algorithms, digital twins technology, neural networks, Predictive Maintenance methodology

Siby Jose Plathottam, Arin Rzonca, Rishi Lakhnori, Chukwunwike O. Iloeje “A review of artificial intelligence applications in manufacturing operations “ Journal of Advanced Manufacturing and ProcessingVolume 5, Issue 3 (16 May 2023)

https://www.isixsigma.com/artificial-intelligence/the-industries-that-will-benefit-the-most-from-ai/?utm

Justin Ogala, Ohoriemu Blessing Okeoghene “Integrating Artificial Intelligence and Mathematical Models for Predictive Maintenance in Industrial Systems” (2024)

Ucar, A., Karakose, M., & Kırımça, N. (2024). Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends. Applied Sciences

Windmann, A., Wittenberg, P., Schieseck, M., Niggemann, O. (2024). Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems.

https://www.iiot-world.com/predictive-analytics/predictive-maintenance/predictive-maintenance