Project B1: Modelling and controlling thermo-kinetic coating processes
This project develops methods for modeling, optimization and control of thermal spraying processes using in-flight characteristics of the particles. A day-dependent multi-objective optimization of the process is achieved by multivariate non-linear models with machine setting dependent expected values as well as covariances.
Project B3: Statistical Modeling of HIGH-RESOLUTION Spectro-Temporal Audio Data in Hearing Aids
This project develops and optimizes signal processing methods to better reproduce music signals in cochlear implants and hearing aids. It proposes new algorithms for change point detection in high-resolution spectro-temporal audio data and for the dimensionality reduction of spectral audio data using a priori information.
Project B4: Statistical process modeling for machining of inhomogeneous mineral subsoil
This project analyzes physical decomposition processes when machining reinforced concrete with diamond impregnated tools. It proposes new lifetime models and new methods for analyzing tool-behavior in order to optimize the arrangement of the respective tools.
Project B5: Statistical methods for damage processes under cyclic load
The project develops statistical models and methods for fatigue damage processes in concrete structures including reinforced and prestressing steel. It relies, among others, on measurements of acoustic emission, and it aims to forecast failure as early and precisely as possible, in particular in the context of monitoring an existing highway bridge.