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Využití umělé inteligence k monitorování stavu obráběcího stroje / Using artificial intelligence to monitor the state of the machine

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.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:444960
Date January 2021
CreatorsPopara, Nikola
ContributorsBražina, Jakub, Kovář, Jiří
PublisherVysoké učení technické v Brně. Fakulta strojního inženýrství
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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