Publication detail
THE USE OF NEURAL NETWORK FOR DIAGNOSTICS REMANENT LIFETIME OF INSULATING MATERIAL
HAMMER, M. LATINA, P. ŘÍHA, Z.
English title
THE USE OF NEURAL NETWORK FOR DIAGNOSTICS REMANENT LIFETIME OF INSULATING MATERIAL
Type
Paper in proceedings (conference paper)
Language
en
Original abstract
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
Keywords in English
Neural Network; Diagnostic; Artificial Intelligence
Released
2005-06-09
Location
Sibiu, Romania
ISBN
973-718-259-6
Book
UBR-CORR Study and Control of Corroslon in the Perspective of Sustalnable Development of Urban Distribution Grids
Pages from–to
163–165
Pages count
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"
}