Publication detail

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

HAMMER, M.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Key words in English

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

Authors

HAMMER, M.

Released

1. 1. 2002

Publisher

S.C.ICPE

Location

Constanta, Romania

ISBN

973-95041-3-2

Book

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

Pages from

67

Pages to

71

Pages count

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"
}