Electrodes are an important part of any biopotential measurement application. The electrodes will be in direct galvanic contact with the skin or tissue of the measurement subject. The interface between the electrode and ...

This thesis discusses the usability of current measurement in controlling and monitoring piezoelectric actuators. Current measurement contains information about the actuator and its environment. This work presents methods ...

The research objective is to find solutions for how companies manufacturing physical products are able to increase profitability and efficiency with products using variability and commonality. The focus of this research ...

In the field of surface engineering, laser cladding is an emerging coating method with the quality of high energy density, which enables the production of low diluted and fusion bonded thick metallic coatings on wide variety ...

Constant need for saving space and energy has led to the miniaturization of electronic devices and to the integration of such devices into various unconventional substrates like different kind of fibers. It has been proposed ...

Product development and innovations play an essential role in enabling enterprises to be continually competitive and profitable. However, even though numerous processes and methodologies have been developed for creating ...

This thesis presents inverse methods to define imbalance distribution of rolls on the basis of whirling and bearing force measurements. Three different methods have been evaluated, of which the first is based on modal ...

Partly due to the increase in global competition, the nature of manufacturing paradigms in Europe has been undergoing continuous change in recent decades. Pressures from the market are forcing companies to evolve into new ...

Thermoplastic nanocomposites are very intriguing materials, since they have enormous possibilities in various applications, for instance, in automotive and packaging industries. If the full potential of nanofillers can be ...

This thesis presents data-driven methods to learn interpretable and accurate fuzzy models (FMs) for classification and regression problems. When FMs are identified based on data, the main advantage of FMs, namely ...