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Design of a Part of an Information System for the Use of Industrial Data
Held, Oliver ; Klusák, Aleš (referee) ; Luhan, Jan (advisor)
This thesis deals with the description and innovation in an industrial company, which is focused on the diagnostics of production machines using mainly big data collection. The theoretical part of the thesis describes industry 4.0, the demands of big data on storage and also the basics of change management. The analytical part includes a description of the company, an analysis of the current state and a proposal for change. The proposed changes are the transition from a relational database to a non relational one and a new web application for data visualization. The last part of the thesis describes the implementation of these changes and their evaluation.
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Design of machining process diagnostic system
Wolf, Jonatan ; Klapka, Milan (referee) ; Houfek, Lubomír (advisor)
The master’s thesis is focused on online diagnostics of the machining process. In the theoretical part are presented maintenance possibilities of machine tools. A whole chapter is devoted to vibrodiagnostics, which describes vibration sensors, their attachment to the measured object and methods of vibration signal processing. The practical part lies in creating a software diagnostic solution for chosen PLC and sensors. The functionality of the proposed system was verified during experimental machining, which also provided valuable data for the correct setting of the system.
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Virtual twin and predictive maintenance
Kotrba, Martin ; Holub, Michal (referee) ; Tůma, Jiří (advisor)
This diploma thesis deals with the design of a virtual twin of cross table MCV 754 QUICK from the Czech manufacturer Kovosvit MAS. The research part describes the basic principles of predictive maintenance methodology and virtual twin technology. The practical part includes a simplification of the initial cross table model. This model was then transferred to the simulation software MSC Adams, where it was optimized so that its behavior corresponds as closely as possible to the physical device. Several simulations were subsequently performed on the model. Then a concept for a predictive method for calculating the remaining service life of individual sections of the ball screw was presented. Simulations performed on a virtual twin served as a source of data to test the proposed method.
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Proposal to Improve Maintenance Strategy in the Industry 4.0 Context
Milčíková, Nikoleta ; Maradová, Karla (referee) ; Zuth, Daniel (advisor)
This bachelor's thesis deals with a proposal of a maintenance strategy refinement in the context of Industry 4.0 in a selected company, particularly in the operating center of Subtil corporation located in Myjava. The first part of the thesis deals with the theory of maintenance itself, its strategies and development across industrial revolutions and the related theory of the Industry 4.0 concept and its cyber-physical principles. The practical part is devoted to the description of the current maintenance strategy in the company and the description of the current state of knowledge in the field of maintenance in the context of Industry 4.0. Subsequently, the findings are applied to the maintenance strategy of Subtil according to its needs and capabilities.
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Automatic Leveling And Loading Platform For Autonomous Production Line
Baštán, Ondřej
The following text aims to familiarize readers with the basic concepts and construction solutions of an autonomous production line using additive production to serve as a data source for research and development of industrial production systems and predictive maintenance systems. The first part deals with the conceptual arrangement of the modular autonomous production line and its components. Subsequently, the technical and construction design of the automatic platform of the autonomous 3D printer cell is described, which ensures the manipulation of the glass plate, which serves as a base-plate for the printed product.
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A Monitoring and Aggregation Device for Large Amounts of Industry Data
Held, Oliver ; Pánek, Richard (referee) ; Smrž, Pavel (advisor)
This bachelor thesis describes hardware and software development of a monitoring device for the collection of industrial big data. The device is based on the development BeagleBone Black kit together with vibration sensors, temperature sensors and strain gauges. The objective of the thesis is to design a device with respect to low production cost, simplicity and possible modularity. The I2C bus and embedded AD converter are used for the collection of the data from the sensors. The data is sent to remote server using UDP protocol. Furthermore, custom strain gauge module is designed and tested. The practical contribution of the thesis is to test the platform functionality, that includes collection, aggregation and transfer of the data.
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Using tribodiagnostics in predictive maintenance in company practice
Trost, Daniel ; Nahodil, Petr (referee) ; Hammer, Miloš (advisor)
The thesis deals with the use of tribodiagnostics in predictive maintenance in corporate practice. It is generally dealt with maintenance, then tribodiagnostics in the company Škoda Auto a.s. Used offline and online diagnostic tools are described. Emphasis is placed on verifying the functionality of the newly purchased online filter unit. The experimental part is focused on detailed analysis of the above, including comparison of measurement results offline and online diagnostics. There is also an economic evaluation of savings obtained by operation the online filter unit. In conclusion, the tribodiagnostics recommendations are given for Škoda Auto a.s.
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Predictive maintenance for automated assembly machines
Janík, Vladimír ; Burget, Radim (referee) ; Mecerod, Václav (advisor)
This thesis deals with data analysis. Data obtained from automated assembly machines and their quick and well-arranged displaying in a format suitable for individual end users. In the thesis web frameworks are compared and database structure as well as final software solution is proposed. The data is loaded using the implemented programming language module. The data is further analyzed and displayed to a user through a web-based application accessible to end user from every device connected to the corporate network.
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Machine tool Life Cycle
Mikulka, Tomáš ; Marek, Jiří (referee) ; Knoflíček, Radek (advisor)
The diploma thesis is focused on the determination of the life cycle state of the production machine. The thesis is divided into several chapters. First, the life cycle of the machine is defined, and the phrase used here is given. Subsequently, the work is devoted to maintenance, repairs and modernization of the production machine. Then there is a demonstration of Schaeffler Skalica's corporate structure and individual methods that determine the state of the machine's life cycle. In the next chapter, the machine is described and then the analysis is made for the current state of the machine. Then the analyses created are evaluated.
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Predictive diagnostics and maintenance of Stäubli robots
Lojková, Pavlína ; Řezníčková, Hana (referee) ; Hammer, Miloš (advisor)
The bachelor thesis deals with the predictive diagnostics and maintenance of Stäubli robots in Bosch Diesel s.r.o. in Jihlava. The parameters monitored so far are described and other suitable ones are proposed for this purpose. The design of the escalation model, its enhancement and visualization is realized. The bachelor thesis also deals with the evaluation of the problem solved.
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