The course provides to PhD students a deeper insight in the field of structural health monitoring (SHM) and computer vision (CV). In the course several advanced topics will be presented, which are partly supported by computer simulations and project work. After the course the students shall be able to apply SHM systems and CV techniques.
Content
- SHM system design, data management and data analysis
- Implementation of wireless sensor networks and embedded systems
- Laboratory experiments on test structures using wireless SHM and control systems developed in this course
- Modern change detection algorithms, including background modeling, illumination
- Invariance, significance and hypothesis testing and predictive models
- Teacher: Lars Abrahamczyk
- Teacher: Stalin Patricio Ibañez Sánchez
- Teacher: Mahsa Mirboland
- Teacher: Volker Rodehorst
- Teacher: Kay Smarsly
