Detail publikace

FUZZY NEURAL NETWORK AS A LIFETIME PREDICTOR OF INSULATIVE MATERIAL

Originální název

FUZZY NEURAL NETWORK AS A LIFETIME PREDICTOR OF INSULATIVE MATERIAL

Anglický název

FUZZY NEURAL NETWORK AS A LIFETIME PREDICTOR OF INSULATIVE MATERIAL

Jazyk

en

Originální abstrakt

When researching electro-insulating materials, searching for new methods of diagnostics and prediction of the lifetime of those insulating materials assumes more and more importance. We are concerned with degradation process of insulating material Relanex used for insulation systems of electric rotary machines windings. Our research is focused to residual lifetime prediction of this insulation systém bhy artificial intelligence. Most usable methods of artificial intelligence are neural networks and fuzzy systems. In this contribution we are especially focused to use hybrid systems like fuzzy-neural networks. The first part of the paper describes the use of fuzzy neural networks which forecast the life of insulating material for windings in electric rotary machine. The second part shows the simulation of insulating material behavior with fuzzy neural networks. Tables evaluate the application of this tool for the solution of the problems investigated. We have used the above-mentioned fuzzy neural networks for the prediction of insulating materials that were programmed in Matlab 6.5 environment.

Anglický abstrakt

When researching electro-insulating materials, searching for new methods of diagnostics and prediction of the lifetime of those insulating materials assumes more and more importance. We are concerned with degradation process of insulating material Relanex used for insulation systems of electric rotary machines windings. Our research is focused to residual lifetime prediction of this insulation systém bhy artificial intelligence. Most usable methods of artificial intelligence are neural networks and fuzzy systems. In this contribution we are especially focused to use hybrid systems like fuzzy-neural networks. The first part of the paper describes the use of fuzzy neural networks which forecast the life of insulating material for windings in electric rotary machine. The second part shows the simulation of insulating material behavior with fuzzy neural networks. Tables evaluate the application of this tool for the solution of the problems investigated. We have used the above-mentioned fuzzy neural networks for the prediction of insulating materials that were programmed in Matlab 6.5 environment.

BibTex


@inproceedings{BUT20454,
  author="Miloš {Hammer} and Zbyněk {Říha} and Petr {Latina}",
  title="FUZZY NEURAL NETWORK AS A LIFETIME PREDICTOR OF INSULATIVE MATERIAL",
  annote="When researching electro-insulating materials, searching for new methods of diagnostics and prediction of the lifetime of those insulating materials assumes more and more importance. We are concerned with degradation process of insulating material Relanex used for insulation systems of electric rotary machines windings. Our research is focused to residual lifetime prediction of this insulation systém bhy artificial intelligence. Most usable methods of artificial intelligence are neural networks and fuzzy systems. In this contribution we are especially focused to use hybrid systems like fuzzy-neural networks. The first part of the paper describes the use of fuzzy neural networks which forecast the life of insulating material for windings in electric rotary machine. The second part shows the simulation of insulating material behavior with fuzzy neural networks. Tables evaluate the application of this tool for the solution of the problems investigated. We have used the above-mentioned fuzzy neural networks for the prediction of insulating materials that were programmed in Matlab 6.5 environment.",
  booktitle="UBR-CORR Study and Control of Corroslon in the Perspective of Sustalnable Development of Urban Distribution Grids",
  chapter="20454",
  howpublished="print",
  year="2005",
  month="june",
  pages="146--148",
  type="conference paper"
}