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Production of Multilayer PCB
Janda, Ondřej ; Zatloukal, Miroslav (referee) ; Starý, Jiří (advisor)
This master thesis introduces the problematics of multilayer printed circuit boards. Theoretical part is focused on materials used for production of multilayer PCB and their parameters. At the same time, it focuses on the pressing process of multi-layered PCB, the types of presses used and their advantages and disadvantages. Practical part describes the methodology and testing of the PCB to identify the reliability of chosen electrical parameters. Testing is aimed to simulate thermal stress during machine soldering and during thermal stress in the target environment.
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Microscope Image Processing
Janda, Ondřej ; Ošmera, Pavel (referee) ; Matoušek, Radomil (advisor)
This diploma thesis deals with image processing of microbiological data. Firstly the brief introduction to biological basics is given. Secondly we take focus on basic and used image processing methods. Integral part of this thesis is working application witch uses image processing methods on input data. Creating user interface for this application is also part of this work. Documentation is provided.
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Usage of Solders with Higher Melting Point for Hybrid Integrated Circuits
Janda, Ondřej ; Jankovský, Jaroslav (referee) ; Otáhal, Alexandr (advisor)
Bachelor thesis introduces the problematics of soldering, explains basic phenomena and principles affecting brazing and points out their positive and negative outcomes, as well as trying to suggest solutions to those negative symptoms accompanying the brazing. Practical part describes a design procedure of the test substrates, methodology of mechanical tests and optimalization of brazing process. As a part of the research, a design and construction of a various brazing tools with heat transfer through a conduit, is included.
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Artificial Intelligence in Power Oil Transformers Diagnostics
Janda, Ondřej ; Szabó,, Radek (referee) ; Kratochvíl, Petr (referee) ; Hammer, Miloš (advisor)
This dissertation thesis deals with the application of expert systems and soft computing methods in field of power oil transformers. The main work is divided into theoretical and practical part. First, the theoretical part presents the basic elements of the transformer, and approaches to its diagnosis. The work focused mainly on the diagnostics of the insulation system, and diagnostic methods and approaches in this specific area. Next part describes the basics of expert systems and other soft computing methods such as: fuzzy logic, neural networks, genetic algorithms and their combinations and extensions. At the end of the theoretical part, the possibility of optimization approaches by means of artificial intelligence and its application in fuzzy model optimization are described. The practical part begins with description of the used data file that runs through the entire work. The work is then divided into four parts, namely in parts which deal with the expert system for transformer diagnostics, DGA module, prediction module, and optimization using artificial intelligence. The section describing the expert system gives specific information about the particular expert system. The means and techniques used for constructing given system are described, and then the complete system design and description of all subsystems and modules are presented. The next section describes the developed DGA module and all selected approaches to its implementation and expansion. At the end of the chapter, the results of comparison between all implemented methods are evaluated. The third part deals with the prediction module and describes its design and construction, including description of the main parts which are based on the selected predictive approaches. Also, the predictions of selected quantities from the data file are included. There are two predictive approaches being used: the one step prediction, and the multiple step prediction. The comparison of prediction accuracy and computational cost of given methods is presented at the end of this chapter. The last part deals with the possibilities of optimization using artificial intelligence methods, namely differential evolution, PSO, and genetic algorithms. Both the single-objective and the multi-objective optimization are considered. The methods are compared in a series of synthetic tests and then applied to optimize the fuzzy models of DGA tests from an earlier part of this work. The dissertation also includes chapters: "The Aims", "The Contribution of the Work", and a list of publications, products, and projects of the author.
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Diagnostics Methods of Dissolved Gas in Transformer Oil Observation
Hindra, Matěj ; Janda, Ondřej (referee) ; Ministr, Martin (advisor)
This thesis is devoted to analysis of the diagnostic methods used in practice. It is divided into two parts: theoretical and practical. The theoretical part concerns with the general description of the transformers. Further it provils informatik about systems for sampling oil from transformers with insulating oil – paper system. Another important part is the description of gas chromatography and TRANSPORT X. Description of the most appropriate evaluation methods for assessment of the state of the transformer is included as well.
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Production of Multilayer PCB
Janda, Ondřej ; Zatloukal, Miroslav (referee) ; Starý, Jiří (advisor)
This master thesis introduces the problematics of multilayer printed circuit boards. Theoretical part is focused on materials used for production of multilayer PCB and their parameters. At the same time, it focuses on the pressing process of multi-layered PCB, the types of presses used and their advantages and disadvantages. Practical part describes the methodology and testing of the PCB to identify the reliability of chosen electrical parameters. Testing is aimed to simulate thermal stress during machine soldering and during thermal stress in the target environment.
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Usage Of Solders With Higher Melting Point For
Hybrid Integrated Circuits
Janda, Ondřej
This article deals with the advantages of brazing that uses an experimental tool for heat conduction, which can be used in thick film technology. In present days brazing on thick film is used in a few applications in microelectronic industry. At higher soldering temperatures there is also an increase in demands leading to creation of high quality joints. The joints made by brazing are mainly used for special applications for power electronics, heating elements and temperature or other sensors.
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Usage of Solders with Higher Melting Point for Hybrid Integrated Circuits
Janda, Ondřej ; Jankovský, Jaroslav (referee) ; Otáhal, Alexandr (advisor)
Bachelor thesis introduces the problematics of soldering, explains basic phenomena and principles affecting brazing and points out their positive and negative outcomes, as well as trying to suggest solutions to those negative symptoms accompanying the brazing. Practical part describes a design procedure of the test substrates, methodology of mechanical tests and optimalization of brazing process. As a part of the research, a design and construction of a various brazing tools with heat transfer through a conduit, is included.
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Artificial Intelligence in Power Oil Transformers Diagnostics
Janda, Ondřej ; Szabó,, Radek (referee) ; Kratochvíl, Petr (referee) ; Hammer, Miloš (advisor)
This dissertation thesis deals with the application of expert systems and soft computing methods in field of power oil transformers. The main work is divided into theoretical and practical part. First, the theoretical part presents the basic elements of the transformer, and approaches to its diagnosis. The work focused mainly on the diagnostics of the insulation system, and diagnostic methods and approaches in this specific area. Next part describes the basics of expert systems and other soft computing methods such as: fuzzy logic, neural networks, genetic algorithms and their combinations and extensions. At the end of the theoretical part, the possibility of optimization approaches by means of artificial intelligence and its application in fuzzy model optimization are described. The practical part begins with description of the used data file that runs through the entire work. The work is then divided into four parts, namely in parts which deal with the expert system for transformer diagnostics, DGA module, prediction module, and optimization using artificial intelligence. The section describing the expert system gives specific information about the particular expert system. The means and techniques used for constructing given system are described, and then the complete system design and description of all subsystems and modules are presented. The next section describes the developed DGA module and all selected approaches to its implementation and expansion. At the end of the chapter, the results of comparison between all implemented methods are evaluated. The third part deals with the prediction module and describes its design and construction, including description of the main parts which are based on the selected predictive approaches. Also, the predictions of selected quantities from the data file are included. There are two predictive approaches being used: the one step prediction, and the multiple step prediction. The comparison of prediction accuracy and computational cost of given methods is presented at the end of this chapter. The last part deals with the possibilities of optimization using artificial intelligence methods, namely differential evolution, PSO, and genetic algorithms. Both the single-objective and the multi-objective optimization are considered. The methods are compared in a series of synthetic tests and then applied to optimize the fuzzy models of DGA tests from an earlier part of this work. The dissertation also includes chapters: "The Aims", "The Contribution of the Work", and a list of publications, products, and projects of the author.
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Diagnostics Methods of Dissolved Gas in Transformer Oil Observation
Hindra, Matěj ; Janda, Ondřej (referee) ; Ministr, Martin (advisor)
This thesis is devoted to analysis of the diagnostic methods used in practice. It is divided into two parts: theoretical and practical. The theoretical part concerns with the general description of the transformers. Further it provils informatik about systems for sampling oil from transformers with insulating oil – paper system. Another important part is the description of gas chromatography and TRANSPORT X. Description of the most appropriate evaluation methods for assessment of the state of the transformer is included as well.
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