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HAMMER, M. ŘÍHA, Z. LATINA, P.
Originální název
INFLUENCE OF FUZZY NEURAL NETWORK INPUT PARAMETERS ON MODELING PROCESS OF INSULATIVE MATERIAL
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Well timed diagnostics of functional state of production machines is still very important in this time. We are focused on problem of degradation procedure inside insulative systems. The paper deals with the the effect of the input values on the result of modeling process 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 input data was obtained by non-destructive measurement method on insulating material samples in laboratory environment. They are the main prerequisites for the modeling 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.
Klíčová slova
Fuzzy Neural Network; Diagnostics; Simulation; Lifetime Insulating Material
Autoři
HAMMER, M.; ŘÍHA, Z.; LATINA, P.
Rok RIV
2005
Vydáno
9. 6. 2005
Místo
Sibiu, Romania
ISBN
973-718-259-6
Kniha
UBR-CORR Study and Control of Corroslon in the Perspective of Sustalnable Development of Urban Distribution Grids
Strany od
153
Strany do
155
Strany počet
3
BibTex
@inproceedings{BUT18417, author="Miloš {Hammer} and Zbyněk {Říha} and Petr {Latina}", title="INFLUENCE OF FUZZY NEURAL NETWORK INPUT PARAMETERS ON MODELING PROCESS OF INSULATIVE MATERIAL", booktitle="UBR-CORR Study and Control of Corroslon in the Perspective of Sustalnable Development of Urban Distribution Grids", year="2005", pages="153--155", address="Sibiu, Romania", isbn="973-718-259-6" }