Model-Agnostic Strategies to Align AI with Real-World Operational Goals in Predictive Maintenance
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This research project focuses on aligning artificial intelligence models with real-world operational goals in predictive maintenance for manufacturing systems. Predictive maintenance plays a crucial role in manufacturing by optimizing equipment reliability, minimizing downtime, and reducing costs, yet current artificial intelligence-driven…
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