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Automatic detection of tool fracture in metal sheet punching
Kluz, Jan ; Rajchl, Matej (referee) ; Brablc, Martin (advisor)
This Bachelor thesis deals with the design and subsequent implementation of the realtime fault detection system during the sheet metal punching process with a tool of small dimensions (0.5 × 12 mm). The proposed system is important for significant ease of the operator's work, acceleration of the process of production, as well as saving of the company finance budget. The first part of this thesis deals with the theoretical background of the studied issue. The following part is a brief theoretical introduction to the field of digital signal processing. The next chapter presents methods developed for fault signals detection including speed enhancing and data flow reducing algorithms. The main examined methods were: frequency peaks, frequency bands, autocorrelation, frequency correlation methods and machine learning including deep machine learning. Deep machine learning of the neural network achieved the best results overall. Features from time and frequency domain were used for purposes of creating the classification model using machine learning. The possibility of developing the predictive maintenance system is also described, including research of this area in a modern industry. Subsequently, the achieved results and their evaluation are presented. The end of this thesis is dedicated to the description of the implementation of classification system into realtime form and connecting this system to the punching press computer using Arduino Uno microcontroller and basic signal control electronics. The proposed system has been successfully assembled, tested and put into on-site testing.
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Automatic detection of tool fracture in metal sheet punching
Kluz, Jan ; Rajchl, Matej (referee) ; Brablc, Martin (advisor)
This Bachelor thesis deals with the design and subsequent implementation of the realtime fault detection system during the sheet metal punching process with a tool of small dimensions (0.5 × 12 mm). The proposed system is important for significant ease of the operator's work, acceleration of the process of production, as well as saving of the company finance budget. The first part of this thesis deals with the theoretical background of the studied issue. The following part is a brief theoretical introduction to the field of digital signal processing. The next chapter presents methods developed for fault signals detection including speed enhancing and data flow reducing algorithms. The main examined methods were: frequency peaks, frequency bands, autocorrelation, frequency correlation methods and machine learning including deep machine learning. Deep machine learning of the neural network achieved the best results overall. Features from time and frequency domain were used for purposes of creating the classification model using machine learning. The possibility of developing the predictive maintenance system is also described, including research of this area in a modern industry. Subsequently, the achieved results and their evaluation are presented. The end of this thesis is dedicated to the description of the implementation of classification system into realtime form and connecting this system to the punching press computer using Arduino Uno microcontroller and basic signal control electronics. The proposed system has been successfully assembled, tested and put into on-site testing.
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Process driven organization
Vandírková, Jana ; Řepa, Václav (advisor) ; Svatoš, Oleg (referee)
The subject of the master thesis Process driven organization is using UML language and BPMN methodology to model business processes of the selected organization, followed by using obtained diagrams organization for upgrade any of modeled diagram existing business processes leading to prosperity of the selected organization.
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Projection of software application supporting processes for small shop dealing with information technologies
Prchlík, Tomáš ; Klas, Jan (advisor) ; Krečman, Kamil (referee)
The dissertation focuses on projection of information system supporting processes for small shop dealing with information technologies. The first part of the dissertation is concerned with the necessary theoretical base to this topic. In the second part, which is practical, is described the solved problem in detail using soft system methodology. It is also described how to choose the proper business form. Then this part considers a proposal of software application itself. Requirements on developed software can be found here and the main processes of the shop are mapped and decomposed. Projection of information system, systém analysis, soft systém methodology, CATWOE, UML, process modelling, use-case diagrams, state diagrams, dropship.
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