Board Level Fault Prediction for the Embedded Sensor Systems at the European XFEL

DASHH Doctoral Researcher: Leandro Lanzieri

Supervisors: Dr. Holger Schlarb (DESY), Prof. Thomas C. Schmidt (HAW), Prof. Görschwin Fey (TUHH)

The main goal of this thesis project is to search for early indicators of hardware deterioration and to design a board level fault prediction for embedded sensor systems. Based on an extensive data analysis of operational records, environmental measurements, and from artificial aging experiments, we want to design a simple n easy model and implementation that concurrently runs on the microcontrollers at low processing cost for performing fault prediction with high accuracy.