Home > Search Results: Popara, Nikola
Search:
Search Tips :: Advanced Search
Search collections:
Sort by: Display results: Output format:
National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Using artificial intelligence to monitor the state of the machine
 Popara, Nikola ; Bražina, Jakub (referee) ; Kovář, Jiří (advisor)
This thesis is focus on monitoring state of machine parts that are under the most stress. Type of artificial intelligence used in this work is recurrent neural network and its modifications. Chosen type of neural network was used because of the sequential character of used data. This thesis is solving three problems. In first problem algorithm is trying to determine state of mill tool wear using recurrent neural network. Used method for monitoring state is indirect. Second Problem was focused on detecting fault of a bearing and classifying it to specific category. In third problem RNN is used to predict RUL of monitored bearing.
Detailed record
Modern technologies for self-sufficient houses
 Popara, Nikola ; Chýlek, Radomír (referee) ; Špiláček, Michal (advisor)
The bachelor thesis deals with modern technologies for self-sufficient houses. In the theoretical part of the thesis individual energy sources are explained. Sources of energy are divided in two major groups and that is source of heat and source of electrical energy. In the next part of my thesis cost of energy sources from different companies is calculated.
Detailed record
Using artificial intelligence to monitor the state of the machine
 Popara, Nikola ; Bražina, Jakub (referee) ; Kovář, Jiří (advisor)
This thesis is focus on monitoring state of machine parts that are under the most stress. Type of artificial intelligence used in this work is recurrent neural network and its modifications. Chosen type of neural network was used because of the sequential character of used data. This thesis is solving three problems. In first problem algorithm is trying to determine state of mill tool wear using recurrent neural network. Used method for monitoring state is indirect. Second Problem was focused on detecting fault of a bearing and classifying it to specific category. In third problem RNN is used to predict RUL of monitored bearing.
Detailed record
Modern technologies for self-sufficient houses
 Popara, Nikola ; Chýlek, Radomír (referee) ; Špiláček, Michal (advisor)
The bachelor thesis deals with modern technologies for self-sufficient houses. In the theoretical part of the thesis individual energy sources are explained. Sources of energy are divided in two major groups and that is source of heat and source of electrical energy. In the next part of my thesis cost of energy sources from different companies is calculated.
Detailed record

Interested in being notified about new results for this query?
Subscribe to the RSS feed.
Digital Repository :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.1.2
Maintained by admin.invenio@techlib.cz
This site is also available in the following languages:
Česky  English