Current - Issue

1. Lefrouni, K., & Taibi, S. (2025). Artificial intelligence techniques for industrial predictive maintenance: A systematic review of recent
advances. Journal Européen des Systèmes Automatisés.
2. Moosavi, S., Farajzadeh-Zanjani, M., Razavi-Far, R., Palade, V., & Saif, M. (2024). Explainable AI in manufacturing and industrial cyber–
physical systems: A survey. Electronics, 13(17), 3497.
3. Sharma, J., Mittal, M. L., Soni, G., & Keprate, A. (2024). Explainable artificial intelligence approaches in predictive maintenance: A review.
Recent Patents on Computer Science, 18(5).
4. Carvalho, T. P., Soares, F. A., Vita, R., Francisco, R. D. P., Basto, J. P., & Alcalá, S. G. (2020). Machine learning and reasoning for predictive
maintenance in Industry 4.0. Computers in Industry, 123, 103298.
5. Nguyen, T. T. H., Nguyen, P. T. L., & Cao, H. (2024). XEdgeAI: A human-centered industrial inspection framework with data-centric
explainable edge AI approach. arXiv preprint arXiv:2407.11771.
6. Nor, A. K. B. M., Pedapait, S. R., & Muhammad, M. (2021). Explainable AI for PHM of industrial assets: A state-of-the-art systematic
review. arXiv preprint arXiv:2107.03869.
7. Vásquez, M. E. M., Andrade, J. C. B., Lazo, A. T., & Sotelo, J. A. L. (2026). AI algorithms and IoT platforms for anomaly and failure
prediction in industrial machinery—systematic review. Frontiers in Artificial Intelligence.
8. Morgan, H. P., Dimitrov, N., & Laurent, P. (2025). A systematic review of predictive maintenance and security co-design with robotic
assembly lines. International Journal of Recent Advances in Engineering and Technology.
9. Hamilton, K., & Ali, M. I. (2026). Neuro-symbolic AI for predictive maintenance (PdM): Review and recommendations. arXiv preprint
arXiv:2602.00731.
10. Reddit PLC Community Discussions on AI-based Predictive Maintenance Systems (2025). Reddit Engineering Community.