In the field of industrial measurements, the emphasis is on new measurement methods development for electrical and non-electrical values in industrial facilities, as well as on the development of new methods for estimation and expression of measurement uncertainty. Research in this field also covers the connection of business logistics with the production process and the improvement of industrial systems in accordance with digital transformation principles. The information technology application for the digital transformation of metrology in a broader context should also be pointed out, including the cyber security issues as well.
Furthermore, various measurement methods are used for parameter estimation techniques for nonlinear electrical components and networks, with the main focus on models that can best fit the measured data in order to accurately extract the parameters and predict behavior, e.g. techniques for residual flux measuring in nonlinear coils and analysis of ferroresonance phenomena, including chaotic behavior.
Furthermore, chaos theory and related properties (e.g. apparent randomness) are used for possible applications, like random number generation and encryption.
