Smart Systems for Predictive Maintenance in Manufacturing Plants

Marten Tanuja, Vishnu Kumar Kaliappan

Abstract


Smart systems for predictive maintenance are transforming manufacturing plants by minimizing downtime and enhancing equipment reliability. This paper explores the methodologies and technologies that enable predictive maintenance, focusing on applications in condition monitoring, data analytics, and maintenance scheduling. Through case studies, the paper highlights the benefits of implementing smart maintenance systems, including reduced operational costs, extended equipment lifespan, and improved production efficiency. Additionally, challenges related to data integration, technology adoption, and skilled workforce availability are discussed.

Keywords


predictive maintenance, smart systems, manufacturing efficiency, data analytics.

References


Ayvaz, Serkan, and Koray Alpay. “Predictive Maintenance System for Production Lines in Manufacturing: A Machine Learning Approach Using IoT Data in Real-Time”. Expert Systems with Applications, vol. 173, Elsevier, 2021, p. 114598.

Çınar, Zeki Murat, et al. “Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0”. Sustainability, vol. 12, no. 19, MDPI, 2020, p. 8211.

Dey, Shopan, and Others. “Predictive Maintenance for Smart Manufacturing: An AI and IoT-Based Approach”. Library Progress International, vol. 44, no. 3, 2024, pp. 11406–11423.

Efthymiou, K., et al. “On a Predictive Maintenance Platform for Production Systems”. Procedia CIRP, vol. 3, Elsevier, 2012, pp. 221–226.

Kroll, Björn, et al. “System Modeling Based on Machine Learning for Anomaly Detection and Predictive Maintenance in Industrial Plants”. Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), IEEE, 2014, pp. 1–7.

Lee, Jay, et al. “Intelligent Maintenance Systems and Predictive Manufacturing”. Journal of Manufacturing Science and Engineering, vol. 142, no. 11, American Society of Mechanical Engineers, 2020, p. 110805.

Pech, Martin, et al. “Predictive Maintenance and Intelligent Sensors in Smart Factory”. Sensors, vol. 21, no. 4, MDPI, 2021, p. 1470.

Ramesh, P. G., et al. “Implementation of Predictive Maintenance Systems in Remotely Located Process Plants under Industry 4.0 Scenario”. Advances in RAMS Engineering: In Honor of Professor Ajit Kumar Verma on His 60th Birthday, Springer, 2020, pp. 293–326.

Ran, Yongyi, et al. “A Survey of Predictive Maintenance: Systems, Purposes and Approaches”. arXiv Preprint arXiv:1912. 07383, tech. rep., 12 2019, 2019, pp. 1–36.

Zonta, Tiago, et al. “Predictive Maintenance in the Industry 4.0: A Systematic Literature Review”. Computers & Industrial Engineering, vol. 150, Elsevier, 2020, p. 106889.


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