AI for Predictive Maintenance in Smart Manufacturing

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Review reveals AI significantly improves predictive maintenance in smart manufacturing, highlighting challenges and future directions.

AI-driven predictive maintenance reduces unplanned downtimes and lowers maintenance costs in manufacturing.
The integration of machine learning and data analytics with real-time sensor data enhances equipment reliability.
State-of-the-art AI models outperform classic maintenance systems, enabling optimal production processes.
Challenges such as data sparsity and scalability issues highlight the need for advancements like explainable AI.

Hossan et al. (2025) studied this question.

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