| Affiliations: | College of Engineering and Computer Science |
| Team Leader: |
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| Faculty Mentor: |
Luis Rabelo, PhD
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Team Size:
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2 |
| Open Spots: | 2 |
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Team Member Qualifications:
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CNC/Manufacturing Process Lead Hands-on with Haas VF-2, tooling, workholding, cutting parameters, and troubleshooting. Ensures experiments are safe, repeatable, and industrially relevant. IIoT / Controls Engineer Comfort with MTConnect and OPC UA, edge gateways, time-sync (NTP/PTP), buffering, and sensor wiring (triaxial accelerometers, CT power meters, thermocouples). Basic PLC/controller familiarity. Physics/Modeling (FMU) Engineer Modelica/Simulink/AMESim, FMI/FMU export, parameter identification, residual generation, and co-simulation with live data. Data/ML for RUL Python (NumPy/Pandas), feature engineering for vibration/power/temperature, sequence models (LSTM/GRU) or gradient boosting, calibration/uncertainty, and MLOps (versioning, reproducibility). Cyber/Integrity & Anomaly Detection ICS data quality checks, plausibility rules, one-class/autoencoder methods, sensor coherency checks, and simple security hardening for the data path. Optimization/RL for Scheduling OR background (heuristics/CP/MIP) plus RL (policy design, reward shaping). Can connect predicted RUL to maintenance windows and OEE objectives. |
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Description:
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Smart-Twin-PM, a six-layer DT architecture for computer numerical control (CNC) machines that integrates physics-based modeling, data-driven analytics, and cyber-secure monitoring to enable live prognostics and automated maintenance scheduling. |