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School of Industrial and Systems Engineering at Georgia Tech

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Nagi Gebraeel Website

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Active Research Areas

  • Scalable and Distributed Equipment Prognostics (Equipment Predictive Analytics) in Big-Sensor-Data Applications.
  • Sensor-Driven Unit-/Fleet-based Optimization of Maintenance-Related Operations and Logistics. (applications in power generation, manufacturing, and automotive)
  • Experimental Testing and Condition Monitoring (available test-beds include rotating machinery, automotive, electronics/avioanics, and drivetrain).
  • Prognostics of Systems Functioning Under Variable Environmental/Operational Conditions.
  • Prognostics of Systems with Sensor Data Quality Issues: Sparse, Fragmented, and Missing Data.
  • Prognostics of Multi-Component Systems with Interdependent Degradation Process.


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