Detail publikace

DEPENDING OF LIFETIME PREDICTION OF INSULATIVE MATERIAL ON THE TYPE OF FUZZY NEURAL NETWORK

Originální název

DEPENDING OF LIFETIME PREDICTION OF INSULATIVE MATERIAL ON THE TYPE OF FUZZY NEURAL NETWORK

Anglický název

DEPENDING OF LIFETIME PREDICTION OF INSULATIVE MATERIAL ON THE TYPE OF FUZZY NEURAL NETWORK

Jazyk

en

Originální abstrakt

At present time, due the fast development of computer technology, more and more application of modern control methods in the practice appear. As an example the fuzzy logic, neural systems and hybrid systems like fuzzy neural networks can be mentioned. Those methods can be used for diagnostics. Usage of such instruments can not only evaluate the current insulation condition, but also forecast the certain prognoses of the life of insulating material under the specified operational conditions. This contribution deals with prediction of the residual life of the Relanex insulating material for electrical rotary machine windings by use of fuzzy neural networks.In case of prediction, the insulation condition in the future time k+1 is predicted based on the input quantities in the times k, k-1, k-2, etc. Anyway the prediction means forecasting of quantity in future from N previous measurement this or other quantities in the past. The first part of the paper describes the use of artificial fuzzy neural networks which forecast the life of insulating material for windings in electric rotary machines and setting of fuzzy neural network for prediction. The second part shows the prediction of insulating material behavior with neural networks

Anglický abstrakt

At present time, due the fast development of computer technology, more and more application of modern control methods in the practice appear. As an example the fuzzy logic, neural systems and hybrid systems like fuzzy neural networks can be mentioned. Those methods can be used for diagnostics. Usage of such instruments can not only evaluate the current insulation condition, but also forecast the certain prognoses of the life of insulating material under the specified operational conditions. This contribution deals with prediction of the residual life of the Relanex insulating material for electrical rotary machine windings by use of fuzzy neural networks.In case of prediction, the insulation condition in the future time k+1 is predicted based on the input quantities in the times k, k-1, k-2, etc. Anyway the prediction means forecasting of quantity in future from N previous measurement this or other quantities in the past. The first part of the paper describes the use of artificial fuzzy neural networks which forecast the life of insulating material for windings in electric rotary machines and setting of fuzzy neural network for prediction. The second part shows the prediction of insulating material behavior with neural networks

BibTex


@inproceedings{BUT18413,
  author="Miloš {Hammer} and Zbyněk {Říha} and Petr {Latina}",
  title="DEPENDING OF LIFETIME PREDICTION OF INSULATIVE MATERIAL ON THE TYPE OF FUZZY NEURAL NETWORK",
  annote="At present time, due the fast development of computer technology, more and more application of modern control methods in the practice appear. As an example the fuzzy logic, neural systems and hybrid systems like fuzzy neural networks can be mentioned. Those methods can be used for diagnostics. Usage of such instruments can not only evaluate the current insulation condition, but also forecast the certain prognoses of the life of insulating material under the specified operational conditions.
This contribution deals with prediction of the residual life of the Relanex insulating material for electrical rotary machine windings by use of fuzzy neural networks.In case of prediction, the insulation condition in the future time k+1 is predicted based on the input quantities in the times k, k-1, k-2, etc. Anyway the prediction means forecasting of quantity in future from N previous measurement this or other quantities in the past. The first part of the paper describes the use of artificial fuzzy neural networks which forecast the life of insulating material for windings in electric rotary machines and setting of fuzzy neural network for prediction. The second part shows the prediction of insulating material behavior with neural networks",
  booktitle="UBR-CORR Studa and Control of Corroslon in the Perspective of Sustalnable Development of Urban Distribution Grids",
  chapter="18413",
  howpublished="print",
  year="2005",
  month="june",
  pages="160--162",
  type="conference paper"
}