Internship Title: Digital Twin Enabled Fault Diagnosis and Health Monitoring for Process Control Applications
Department: Mechanical Engineering
Mentor Names: Furkan Guc
Impedance matching are key technologies in today's cutting-edge engineering applications like semiconductor manufacturing and wireless charging. Asa well-known benchmark in process control, different faults may occur in the system like sensor and actuator related faults. Using smart control engineering applications like digital twins, it is possible to detect faults before the actual fault occurs. Digital twin applications enable to monitor system health and warn user before critical faults. Project’s aim is to research and implement digital twin application for impedance matching benchmark to come up with a fault diagnosis and health monitoring solution for a process control application.
