Room: HR N137
Tel.: +31(0) 53 489 7765
Position: PDEng student
Fault Diagnosis and Prognosis, Data analytics and Machine learning
Predictive Maintenance of Rail-Infrastructure
The goal of the project is to utilize big data and artificial intelligence for predictive maintenance of rail infrastructure. Data can be in the form of vibration acceleration, ultrasonic, eddy current, visual etc. The available data need to be analysed and used for rail anomaly detection.
Cricket, Hiking, Reading
Embedded Systems LAB, University of Ulsan, South Korea
I worked as a graduate research assistant to carry out fault diagnosis and remaining useful life prediction of rolling element bearings using machine learning and signal processing techniques.