Publication result detail

Neural networks: Off-Line Diagnostic Tools of High-Voltage Electric Machines

LATINA, P.; PAVLÍK, J.; HAMMER, M.

Original Title

Neural networks: Off-Line Diagnostic Tools of High-Voltage Electric Machines

English Title

Neural networks: Off-Line Diagnostic Tools of High-Voltage Electric Machines

Type

Paper in proceedings (conference paper)

Original Abstract

This article describes neural networks used in the off-line diagnostics of high voltage generators. Such an artificial intelligence tool is used for the prediction of diagnostic quantity selected and used in the machines tested. The diagnostic quantities are obtained by non-destructive measurement during planned revisions and shutdowns in the machines monitored.

English abstract

This article describes neural networks used in the off-line diagnostics of high voltage generators. Such an artificial intelligence tool is used for the prediction of diagnostic quantity selected and used in the machines tested. The diagnostic quantities are obtained by non-destructive measurement during planned revisions and shutdowns in the machines monitored.

Keywords

neural network, artificial intelligence, diagnostics

Key words in English

neural network, artificial intelligence, diagnostics

Authors

LATINA, P.; PAVLÍK, J.; HAMMER, M.

RIV year

2010

Released

01.11.2009

Publisher

Springer Berlin Heidelberg

Location

Berlin

ISBN

978-3-642-05021-3

Book

Recent Advances in mechatronics 2008-2009

Pages from

133

Pages to

137

Pages count

5

BibTex

@inproceedings{BUT32421,
  author="Petr {Latina} and Josef {Pavlík} and Miloš {Hammer}",
  title="Neural networks: Off-Line Diagnostic Tools of High-Voltage Electric Machines",
  booktitle="Recent Advances in mechatronics 2008-2009",
  year="2009",
  number="1",
  pages="133--137",
  publisher="Springer Berlin Heidelberg",
  address="Berlin",
  isbn="978-3-642-05021-3"
}