14 research outputs found
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation
The description of distributions related to grain microstructure helps
physicists to understand the processes in materials and their properties. This
paper presents a general statistical methodology for the analysis of
crystallographic orientations of grains in a 3D Laguerre tessellation dataset
which represents the microstructure of a polycrystalline material. We introduce
complex stochastic models which may substitute expensive laboratory
experiments: conditional on the Laguerre tessellation, we suggest interaction
models for the distribution of cubic crystal lattice orientations, where the
interaction is between pairs of orientations for neighbouring grains in the
tessellation. We discuss parameter estimation and model comparison methods
based on maximum pseudolikelihood as well as graphical procedures for model
checking using simulations. Our methodology is applied for analysing a dataset
representing a nickel-titanium shape memory alloy
Towards holistic power distribution system validation and testing - an overview and discussion of different possibilities
Renewable energy sources are key enablers to decrease greenhouse gas emissions and to cope with the anthropogenic global warming. Their intermittent behaviour and limited storage capabilities present challenges to power system operators in maintaining the high level of power quality and reliability. However, the increased availability of advanced automation and communication technologies has provided new intelligent solutions to face these challenges. Previous work has presented various new methods to operate highly interconnected power grids with corresponding components in a more effective way. As a consequence of these developments the traditional power system is transformed into a cyber-physical system, a smart grid. Previous and ongoing research activities have mainly focused on validating certain aspects of smart grids, but until now no integrated approach for analysing and evaluating complex configurations in a cyber-physical systems manner is available. This paper tackles this issue and addresses system validation approaches for smart grids. Different approaches for different stages in the design, development, and roll-out phase of smart grid solutions and components are discussed. Finally, future research directions are analysed