Publication detail

THE LIFETIME PREDICTION OF INSULATING MATERIAL BY FUZZY NEURAL NETWORKS

HAMMER, M. ŘÍHA, Z. LATINA, P.

Original Title

THE LIFETIME PREDICTION OF INSULATING MATERIAL BY FUZZY NEURAL NETWORKS

Type

conference paper

Language

English

Original Abstract

The paper deals with the diagnostics of insulating materials of electric rotating machines using fuzzy neural networks, the effect of the input values and the setting of the fuzzy neural network on the result of prediction and simulation of insulating material. The input data consist of coefficients Ba (activation energy of a polarization action), Bv (activation energy of a conduction action) and Uk, being a parameter that determines critical voltage. The data is acquired by non-destructive measurement on insulating material samples. They are the main prerequisites for the prediction of coefficient Up (break-down voltage) that characterizes the lifetime of the insulating material and, therefore, the whole motor. The fuzzy neural networks were programmed in the Matlab 6.5 environment and the results of simulations were obtained using the same product.

Keywords

Lifetime Prediction; Fuzzy Neural Networks; Matlab; Simulation; Prediction

Authors

HAMMER, M.; ŘÍHA, Z.; LATINA, P.

RIV year

2005

Released

14. 6. 2005

Publisher

Oficyna Wydawnicza Politechniki Opolskiej - opole 2005

Location

Opole, Poland

ISBN

83-88492-74-8

Book

SME 2005

Pages from

509

Pages to

512

Pages count

4

BibTex

@inproceedings{BUT18409,
  author="Miloš {Hammer} and Zbyněk {Říha} and Petr {Latina}",
  title="THE LIFETIME PREDICTION OF INSULATING MATERIAL BY FUZZY NEURAL NETWORKS",
  booktitle="SME 2005",
  year="2005",
  pages="509--512",
  publisher="Oficyna Wydawnicza Politechniki Opolskiej - opole 2005",
  address="Opole, Poland",
  isbn="83-88492-74-8"
}