Machine Learning Algorithms for IoT-Enabled Smart Factories in Industry 4.0
Keywords:
Industry 4.0, Smart Factory, Internet of Things, Machine Learning, Predictive Maintenance, Intelligent Manufacturing.Abstract
The combination of the Internet of Things (IoT) and Machine Learning (ML) hasbecome one of the enabling factors of smart factories within the Industry 4.0 paradigm. IoTinfrastructures facilitate real-time collection of big sensor data of machines, production lines and industrial settings
References
J. Dalzochio, R. Kunst, E. Pignaton, A. Binotto, S. Sanyal, J. Favilla, and E. Mendes, “Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges,” Computers in Industry, vol. 123, Art. no. 103298, 2020, doi: 10.1016/j.compind.2020.103298.
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Published
2022-10-20
How to Cite
Sharanagouda N Patil,Rajshekhar S Heera,Raju Hajare. (2022). Machine Learning Algorithms for IoT-Enabled Smart Factories in Industry 4.0 . Journal of Computational Analysis and Applications (JoCAAA), 30(2), 604–615. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4478
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