|
|
Utilization of artificial intelligence in technical diagnostics
Konečný, Antonín ; Huzlík, Rostislav (referee) ; Zuth, Daniel (advisor)
The diploma thesis is focused on the use of artificial intelligence methods for evaluating the fault condition of machinery. The evaluated data are from a vibrodiagnostic model for simulation of static and dynamic unbalances. The machine learning methods are applied, specifically supervised learning. The thesis describes the Spyder software environment, its alternatives, and the Python programming language, in which the scripts are written. It contains an overview with a description of the libraries (Scikit-learn, SciPy, Pandas ...) and methods — K-Nearest Neighbors (KNN), Support Vector Machines (SVM), Decision Trees (DT) and Random Forests Classifiers (RF). The results of the classification are visualized in the confusion matrix for each method. The appendix includes written scripts for feature engineering, hyperparameter tuning, evaluation of learning success and classification with visualization of the result.
|
|
|
Risk analysis of selected types of operated machine tools
Konečný, Antonín ; Rozehnalová, Jana (referee) ; Blecha, Petr (advisor)
Bachelor thesis is focused on risk analysis for boring machine WH 80. Other part is solving literature review of EU regulations and regulations of Czech Republic focused on mentions machinery and health and safety at work. Contains summary of harmonised standards in forces for boring machine. Harmonized standard ČSN EN ISO 12100:2011 was take into consideration during elaborate of risk analysis. Contains summary of hazard at boring machine. For clarity was single hazard classify to right segment. From regulations was mention that parts which are connected to boring machines and work with them. All harmonised standards were described in brief.
|
|
|
Risk Modelling in Engineering Applications
Konečný, Antonín ; Karpíšek, Zdeněk (referee) ; Popela, Pavel (advisor)
The diploma thesis focuses on risk modelling in engineering applications. The knowledge obtained from statistical methods of operational research, specifically regression analysis, is used. Electrical quantities measured on the stator winding of an electrical machine (generator) are analyzed. Regression analysis and statistical hypothesis testing is performed in Statgraphics software. The success results of the regression analysis for risk reduction are documented in detail and the regression curves are visualized in graphs. Conclusions and recommendations for each generator, as well as general ones, are formulated.
|
|
|
Measurement of process variable – pressure
Kouba, Martin ; Hammer, Miloš (referee) ; Konečný, Antonín (advisor)
The measurement of the process quantity of pressure is an important element and condition of the functionality of many industrial applications, especially in the environment of commodity production, transport, pharmacy, food industry and many others. In practise, there are many pressure measurement methods that are applied in different environments and conditions. The choice of measuring equipment depends on many factors, such as the measurement range, environment, sensitivity, response speed, or environmental resistance. The correct procedure in their calibration and determination of measurement uncertainties increase the credibility of the measurement results. The means of data transfer in a modern concept make it possible to better secure and speed up the transfer of information in the measurement chain. All of the above-mentioned facts, in sequence and in relation to each other, fundamentally affect the resulting reliability and effectiveness of the measurement of the process quantity. The study of the measurement of the process quantity of pressure from a comprehensive point of view will allow us to analyse the individual elements of the measuring chain and their interconnection. The content of the thesis provides a basic orientation to the issue of pressure measurement and captures the main trends in individual areas.
|
|
|
Measurement of process variable – temperature
Dvořák, Matěj ; Hájková, Alena (referee) ; Konečný, Antonín (advisor)
This thesis summarizes the current knowledge about temperature sensors used for measurement, of which there is a wide variety. Therefore, it should serve as a guide to the world of temperature measurement, starting from the fundamental principles of measurement, explaining terms and analysing the characteristics of measuring instruments, and providing a detailed overview of their types. Additionally, it allows readers to navigate through the abundance of published documents and standards and provides an overview of wireless communication methods. As this topic is extensive, this publication is intended to be a practical tool for everyday use or a reference point for finding more detailed information in the specific area of interest.
|
|
|
Modern approaches to maintenance in engineering practice
Jiroušek, Lukáš ; Konečný, Antonín (referee) ; Hammer, Miloš (advisor)
The thesis deals with maintenance and implementation of modern maintenance approaches in engineering practice. The present thesis focuses on Total Productive Maintenance (TPM). The first part of the thesis defines the general characteristics of maintenance, its division, including an analysis of maintenance types. In the context of maintenance according to the technical condition, the methods of technical diagnostics such as vibrodiagnostics, thermodiagnostics, tribodiagnostics and acoustic diagnostics are also introduced. The second part of the thesis focuses on the philosophy and description of Total Productive Maintenance (TPM) including the individual pillars and the evaluation of Overall Equipment Effectiveness (OEE). The third part deals with the actual practical implementation of TPM at Schaeffler Production CZ s.r.o, with emphasis on autonomous maintenance, e-maintenance and the 7S concept. The final part of the thesis summarizes the benefits and advantages that can be observed by implementing the TPM method in Schaeffler Production CZ s.r.o.
|
|
|
Risks of workplaces with collaborative robots
Vítek, Ondřej ; Konečný, Antonín (referee) ; Lacko, Branislav (advisor)
This bachelor’s thesis deals with the analysis of safety standards and risks for industrial robots. Information regarding the risks of robots, their workplaces, and techniques for their assessment are processed in a research way. In the beginning, terms important for robotics are defined and clarified. Furthermore, the work will summarize essential standards that concern robots. Subsequently, individual parts of ISO standards and other specifications related to industrial and collaborative robots will be analyzed. In the last part, the bachelor’s thesis is devoted to measures for the application of standards in practice. Possible risk mitigations and appropriate recommendations are described here. Measures and safety of robots with regard to connection to the computer network will be mentioned thematically.
|
|
|
Risk Modelling in Engineering Applications
Konečný, Antonín ; Karpíšek, Zdeněk (referee) ; Popela, Pavel (advisor)
The diploma thesis focuses on risk modelling in engineering applications. The knowledge obtained from statistical methods of operational research, specifically regression analysis, is used. Electrical quantities measured on the stator winding of an electrical machine (generator) are analyzed. Regression analysis and statistical hypothesis testing is performed in Statgraphics software. The success results of the regression analysis for risk reduction are documented in detail and the regression curves are visualized in graphs. Conclusions and recommendations for each generator, as well as general ones, are formulated.
|
|
|
Utilization of artificial intelligence in technical diagnostics
Konečný, Antonín ; Huzlík, Rostislav (referee) ; Zuth, Daniel (advisor)
The diploma thesis is focused on the use of artificial intelligence methods for evaluating the fault condition of machinery. The evaluated data are from a vibrodiagnostic model for simulation of static and dynamic unbalances. The machine learning methods are applied, specifically supervised learning. The thesis describes the Spyder software environment, its alternatives, and the Python programming language, in which the scripts are written. It contains an overview with a description of the libraries (Scikit-learn, SciPy, Pandas ...) and methods — K-Nearest Neighbors (KNN), Support Vector Machines (SVM), Decision Trees (DT) and Random Forests Classifiers (RF). The results of the classification are visualized in the confusion matrix for each method. The appendix includes written scripts for feature engineering, hyperparameter tuning, evaluation of learning success and classification with visualization of the result.
|
|
|
Risk analysis of selected types of operated machine tools
Konečný, Antonín ; Rozehnalová, Jana (referee) ; Blecha, Petr (advisor)
Bachelor thesis is focused on risk analysis for boring machine WH 80. Other part is solving literature review of EU regulations and regulations of Czech Republic focused on mentions machinery and health and safety at work. Contains summary of harmonised standards in forces for boring machine. Harmonized standard ČSN EN ISO 12100:2011 was take into consideration during elaborate of risk analysis. Contains summary of hazard at boring machine. For clarity was single hazard classify to right segment. From regulations was mention that parts which are connected to boring machines and work with them. All harmonised standards were described in brief.
|
guest ::
RSS feed.