Machine Learning for Prognostics and Health Management in Manufacturing

3 Credits

Covers advanced machine learning and data analytics for prognostics and health management in smart manufacturing, emphasizing both theoretical foundations and industrial applications. Using industrial data from connected machines, sensors, and processes, students learn to optimize manufacturing operations, improve product quality, and reduce downtime with data-driven decision-making. Topics include predictive maintenance, anomaly detection, and process optimization.