Detail publikace

The life diagnostic of insulating materials for electrical machines with neural networks

HAMMER, M.

Originální název

The life diagnostic of insulating materials for electrical machines with neural networks

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The contribution deals with the use of artificial intelligence methods in the life diagnostics of Relanex insulating material that is applied as insulation of electrical machine windings. For example, neural networks are one applicable method. The method belongs to the appropriate tools that provide the modelling, identification and simulation of technological systems and units. In such a case, the insulating material is used as a modelled and identified system. The first part of the paper describes the architecture and the setting of neural networks, the description of input modelled and identified data. The second part shows (in the figures) the curves of identification, modelling and the simulation of insulating material behaviour with neural networks. Tables evaluate the application of this tool for the solution of the problems investigated. We have used the above-mentioned neural networks for the diagnostics of insulating materials that were programmed in Matlab 6 environment. All simulations and the values calculated were also obtained by means of this product.

Klíčová slova v angličtině

Artificial intelligence, Neural networks, System identification, Modelling, Simulation

Autoři

HAMMER, M.

Vydáno

1. 1. 2002

Nakladatel

S.C.ICPE

Místo

Constanta, Romania

ISBN

973-95041-3-2

Kniha

Study and control of corrosion in the perspective of sustainable development of urban distribution grids

Strany od

67

Strany do

71

Strany počet

5

BibTex

@inproceedings{BUT5353,
  author="Miloš {Hammer}",
  title="The life diagnostic of insulating materials for electrical machines with neural networks",
  booktitle="Study and control of corrosion in the perspective of sustainable development of urban distribution grids",
  year="2002",
  pages="5",
  publisher="S.C.ICPE",
  address="Constanta, Romania",
  isbn="973-95041-3-2"
}