Data, modeling,
prediction & IoT.
Research that connects asset condition, operating environments, and monitoring information to improve understanding of corrosion and integrity challenges.
- Industrial data collection, preparation, and analysis
- Corrosion modeling, predictive analytics, and model evaluation
- IoT and sensor-based monitoring research
- Integration of field observations, monitoring, and inspection data
- Damage mechanism assessment and mitigation planning
- Field and data-driven MIC assessment

