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Order Analysis
Honc, Lukáš ; Pikula, Stanislav (referee) ; Beneš, Petr (advisor)
This master's thesis deals with order analysis. The first part of the thesis describes common methods for order analysis and methods for processing tacho and vibration signal. The second part contains a brief description of some open source tools for order analysis focusing on Sound and Vibration Measurement Suite (SVMS) package for LabVIEW by National Instruments company. The main purpose of the thesis has been designing and realization of own library for order analysis as a plugin for development tool LabVIEW. In the library, there are implemented methods for order analysis including basic functions for processing vibration and tacho signal. Their brief description with manual for its usage is in the third part of the thesis. In the last chapter, implemented functions are compared with those, which are implemented in SVMS by National Instruments, using both simulated and real data.
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Simulator for Passive Multi-Static Radar using WiFi/WiMAX
Sládek, Ondřej ; Kubíček, Michal (referee) ; Šebesta, Jiří (advisor)
This master’s thesis deals with the concept of passive multistatic radar. The radar system exploits WiFi or WiMAX transmitters as the source of radiolocation signal. The transmitters are considered non-cooperative. The master’s thesis evaluates limitations arising from utilization of WiFi or WiMAX signals. A Matlab simulator was created as a part of the thesis, which was used to verify the basic idea behind this concept. Based on the results of real-life simulations, conclusions are suggested towards a possible application of WiFi/WiMAX radar.
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Design of testing device for piezocomposite sensors
Zlámal, Radim ; Chalupa, Jan (referee) ; Kšica, Filip (advisor)
Presented bachelor’s thesis describes the design and the following assembly of a device used for testing MFC sensors. In the first part, fundamental theoretical findings regarding main properties of the sensors are listed, including their description and comparison with other piezoelectric materials. Available methods for measuring a response from the sensor are mentioned sequentially by means of applied stress (tension/compression, bending, torsion). The second part focuses on realization of the device based on the chosen physical principle for loading the tested specimen, to which the sensor is firmly attached. Construction of the device is designed and adjusted to meet the input requirements and boundary conditions for bending. Both hardware and software are selected to simulate the specific form of mechanical loading. The last part involvesstatic measurements of deformations on the specimen using a charge amplifier, as well as modelling of various dynamic cycles sensed by utilizing a load resistor. Voltage signal from the sensor is converted to strain, which is further transformed into deflection for measurement verification, and finally, the functionality of the entire device is evaluated.
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Train Identification System at Railway Switches And Crossings Using Advanced Machine Learning Methods
Krč, Rostislav ; Vorel,, Jan (referee) ; Plášek, Otto (referee) ; Podroužek, Jan (advisor)
This doctoral thesis elaborates possibilities of automatic train type identification in railway S&C using accelerometer data. Current state-of-the-art was considered, including requirements stated by research projects such as S-Code, In2Track or Turnout 4.0. Conducted experiments considered different architectures of artificial neural networks (ANN) and statistically evaluated multiple use case scenarios. The resulting accuracy reached up to 89.2% for convolutional neural network (CNN), which was selected as a suitable baseline architecture for further experiments. High generalization capability was observed as models trained on data from one location were able to classify locomotive types in the other location. Further experiments evaluated the effect of signal filtering and denoising. Evaluation of allocated memory and processing time for pre-trained models proved feasibility for in-situ application with regard to hardware restrictions. Due to a limited amount of available accelerometer data, distribution grid power demand data were utilized for further refinement of the proposed CNN architecture. Deep multi-layer architecture with regularization techniques such as dropout or batch normalization provides state-of-the-art performance for time series classification problems. Class activation mapping (CAM) allowed an explanation of decisions made by the neural network. Presented results proved that train type identification directly in the S&C is possible. The CNN was selected as optimal architecture for this task due to high classification accuracy, automatic filtration, and pattern recognition capabilities, allowing for the incorporation of the end-to-end learning strategy. Moreover, direct on-site application of pre-trained models is feasible with respect to limitations of in-situ hardware. This thesis contributes to understanding the train type identification problem and provides a solid theoretical background for future research.
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Tool for visualization and listening of vibration signals
Slavov, Jan ; Mancl, Vlastimil (referee) ; Čala, Martin (advisor)
This bachelor thesis deals with the development of a tool for visualization and listening of vibrational signals. The aim of the work is to find out the possibilities of the LabVIEW development environment in the area for which the application is intended, to further evaluate similar programs offered on the market and to create an application that will allow the user basic signal processing. The application also allows you to work with the myDAQ device and listen to signals through speakers, during which it will display the current playback position.
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Signal analysis options on Arduino platform
Havlíček, Michal ; Zuth, Daniel (referee) ; Huzlík, Rostislav (advisor)
The aim of this bachelors thesis is to analyse signal with Arduino platform by creation of program which is able to perform calculations of signal´s mean value, efficiency value, Fourier transform and subsequent export of these results into computes. Furthermore it examines testing of this program and evaluation of possible limitations with usage of Arduino platform.
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Processing of signals from fiber optic sensors
Sikora, Vojtěch ; Urban, František (referee) ; Čučka, Milan (advisor)
First two chapters of this paper deals with the division of optical fiber sensors, digital signal processing and includes price comparison of four experimental sensors. In chapter three analysis, description and evaluation of measurment has been demonstrated on Mach - Zehnder interferometer. Last chapter is about application for signal analysis from vibration sensors. Description contains snippets from source code and graphical user interface. This paper includes three fields - fiber optics, digital signal processing and creation of application - and thanks to them it provides solid basis for study of optic fiber sensors.
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Research of tempo features comparing audio records
Ištvánek, Matěj ; Galáž, Zoltán (referee) ; Kiska, Tomáš (advisor)
This thesis deals with technical properties of audio signals or more precisely of recordings from the prepared database and describes parameters which are used for music transcription and analysis of audio signals. It summarises information about music theory and automatic transcription of audio recordings, introduces specialist studies that deal with problems of signal analysis and their results. Furthermore it mentions attributes with the best ability to generally differentiate included songs from rhythmical and metrical aspects. Thesis analyses in the MATLAB language, from the prepared database, all interpretations of the piece "String Quartet No. 1 – IV. Con moto" from Leoš Janáček with two selected methods and shows results of the analysis and comparing of the methods. Finally the work summarizes all information and problems of the thesis.
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Simulator for Passive Multi-Static Radar using WiFi/WiMAX
Sládek, Ondřej ; Kubíček, Michal (referee) ; Šebesta, Jiří (advisor)
This master’s thesis deals with the concept of passive multistatic radar. The radar system exploits WiFi or WiMAX transmitters as the source of radiolocation signal. The transmitters are considered non-cooperative. The master’s thesis evaluates limitations arising from utilization of WiFi or WiMAX signals. A Matlab simulator was created as a part of the thesis, which was used to verify the basic idea behind this concept. Based on the results of real-life simulations, conclusions are suggested towards a possible application of WiFi/WiMAX radar.
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