MA: Simulation of Degradation Phenomenon in X-Ray Source and X-ray Detector for Predictive Maintenance

Motivation

Predictive Maintenance uses mathematical models to predict when a machine would defect. Based on that, maintenance action would be optimized to prevent machine downtime and reduce required cost and time.

X-Ray fluorescence spectrometry is a non invasive material analysis method to determine elemental composition of sample. Each spectrometer is expensive. X-ray components such as Source and Detector defect easily and are hard to inspect. Predictive maintenance thus brings massive benefit to customer.

We would like to combine knowledge in physics and electrical engineering to program a simulation tool, which could simulate the whole degradation process of the components and its effect on measurable data (current, voltage). Based on that, prediction could be made.

Tasks

• Research on principle of X-Ray Source and detector, and of X-Ray Fluorescence Spectrometry

• Research on physical phenomenon of degradation

• Program a simulation tool for complete lifetime simulation of X-ray Components

Requirements

• Students in Electrial Engineering, Optics and Photonics, Physics

• Knowledge in programming language (e.g. Python)