Publication detail

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

HAMMER, M.

Czech title

Diagnostika Životnosti Izolačních Materiálů Elektrických Strojů pomocí Neuronové sítě

English title

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

Type

conference paper

Language

en

Original abstract

The paper 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.

Czech abstract

Článek se zabývá diagnostikou izolačního materiálu elektrických strojů.

English abstract

The paper 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.

Keywords in English

Neural networks, Diagnostics, System identification, Modelling, Simulation

Released

01.01.2002

Publisher

Widawnictwo Politechniki Swietokrzyskiej

Location

Kielce, Polsko

ISBN

83-88906-02-X

Book

SME 2002 New constructions, technologies and calculation methods of electrical machines

Pages count

11

BIBTEX


@inproceedings{BUT5378,
  author="Miloš {Hammer},
  title="The life diagnostics of insulating materials for electrical machines with neural networks",
  booktitle="SME 2002 New constructions, technologies and calculation methods of electrical machines",
  year="2002",
  month="January",
  publisher="Widawnictwo Politechniki Swietokrzyskiej",
  address="Kielce, Polsko",
  isbn="83-88906-02-X"
}