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Energy Harvesting for Industry 4.0 Applications
Gajdošík, Róbert ; Šimek, Václav (oponent) ; Smrž, Pavel (vedoucí práce)
The aim of this thesis is to estimate industrial applications of energy harvesting in industry 4.0. As a part of this project, a working prototype was constructed using a piezoelectric harvester and appropriate sensory equipment. A vibration sensor was chosen as the most appropriate solution for measuring vibrations emanated by the object being observed. Subsequently, a software solution was developed for calculating the frequency of the vibrations using analog sensor input handled by an analog-digital converter. The result is a tested prototype of a self-powered sensor capable of sending warning messages when detecting anomalous vibration frequencies emanating from the monitored object.
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Dependability Assessment Based on SMC
Gajdošík, Róbert ; Lojda, Jakub (oponent) ; Strnadel, Josef (vedoucí práce)
The aim of this thesis is assessing dependability of computerized systems using modelling and simulation. After establishing basic nomenclature, research was performed on de- pendability metrics, fault taxonomy and dependability bolstering techniques. Afterwards, analytical solutions were explored to be used as a reference point. Next, multiple simulation tools were assessed and Uppaal SMC was chosen as the most suitable tool because of it’s timed automaton framework enriched with a query language and multiple Simulation Model Checking tools. Finally, systems describing multiple relevant situations were implemented and evaluated against both themselves and the analytically computed reference point.
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Energy Harvesting for Industry 4.0 Applications
Gajdošík, Róbert ; Šimek, Václav (oponent) ; Smrž, Pavel (vedoucí práce)
The aim of this thesis is to estimate industrial applications of energy harvesting in industry 4.0. As a part of this project, a working prototype was constructed using a piezoelectric harvester and appropriate sensory equipment. A vibration sensor was chosen as the most appropriate solution for measuring vibrations emanated by the object being observed. Subsequently, a software solution was developed for calculating the frequency of the vibrations using analog sensor input handled by an analog-digital converter. The result is a tested prototype of a self-powered sensor capable of sending warning messages when detecting anomalous vibration frequencies emanating from the monitored object.
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