Publication result detail

THE USE OF NEURAL NETWORK FOR DIAGNOSTICS REMANENT LIFETIME OF INSULATING MATERIAL

HAMMER, M.; LATINA, P.; ŘÍHA, Z.

Original Title

THE USE OF NEURAL NETWORK FOR DIAGNOSTICS REMANENT LIFETIME OF INSULATING MATERIAL

English Title

THE USE OF NEURAL NETWORK FOR DIAGNOSTICS REMANENT LIFETIME OF INSULATING MATERIAL

Type

Paper in proceedings (conference paper)

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

English 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

Neural Network; Diagnostic; Artificial Intelligence

Key words in English

Neural Network; Diagnostic; Artificial Intelligence

Authors

HAMMER, M.; LATINA, P.; ŘÍHA, Z.

Released

09.06.2005

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

163

Pages to

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"
}