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Detail publikačního výsledku
HAMMER, M.; LATINA, P.; ŘÍHA, Z.
Originální název
THE USE OF NEURAL NETWORK FOR DIAGNOSTICS REMANENT LIFETIME OF INSULATING MATERIAL
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
The paper deals with the usage of artificial intelligence (neural networks) for description the lifetime of insulating material of electric rotary machine. A state of insulating material is the main part of reliability of whole system. Up to now, we worked with data obtained by non-destructive method in laboratory condition on insulating sample. At this time, we are trying to apply the data, which were measured by non-destructive method too. The data were measured on real electric motor and they will be used for inputs of the neural network. The neural network then can predict the remanent lifetime of investigate system
Anglický abstrakt
Klíčová slova
Neural Network; Diagnostic; Artificial Intelligence
Klíčová slova v angličtině
Autoři
Vydáno
09.06.2005
Místo
Sibiu, Romania
ISBN
973-718-259-6
Kniha
UBR-CORR Study and Control of Corroslon in the Perspective of Sustalnable Development of Urban Distribution Grids
Strany od
163
Strany do
165
Strany počet
3
BibTex
@inproceedings{BUT18414, author="Miloš {Hammer} and Petr {Latina} and Zbyněk {Říha}", title="THE USE OF NEURAL NETWORK FOR DIAGNOSTICS REMANENT LIFETIME OF INSULATING MATERIAL", booktitle="UBR-CORR Study and Control of Corroslon in the Perspective of Sustalnable Development of Urban Distribution Grids", year="2005", pages="163--165", address="Sibiu, Romania", isbn="973-718-259-6" }