Term 252
Smart Corrosion Monitoring & Prediction System for Industrial Pipelines
Project Type: Self-Initiated
Project Description
This smart monitoring system enables real-time measurement to continuously track performance and operational health. By leveraging this live data, the system facilitates early prediction of potential issues, ensuring that timely and proactive maintenance can be performed before critical failures occur.
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Project Team
Thamir Abdullah Al Orfi Al Johani
ICS
Khalid Sami Alhazmi
CHE
Yazeed Waleed Alhammad
ISE
Shujaa Rashed Alsubaie;
CHE
Mohammed Salem Alhajri
CHE
Mohanad Mohammed Basabaien
ISETeam Coach
DR. Omar Hammad
Assistant ProfessorInfo. & Computer Science Dept.
SDAIA-KFUPM Joint Research Center for Artificial Intelligence