Application of neural network technology to diagnose DC turnouts

Authors

  • V. I. Havryliuk Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan, Ukraine https://orcid.org/0000-0001-9954-4478
  • V. Yu. Dub Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan, Ukraine
  • V. V. Malovichko Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan, Ukraine

DOI:

https://doi.org/10.15802/stp2010/13515

Keywords:

neural network technology, diagnosis, turnout translation, dc

Abstract

In the paper a procedure of diagnostics and check of failures of switches with DC electric engines on the basis of neural networks is proposed by the authors.

Author Biographies

V. I. Havryliuk, Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan

В. И.  Гаврилюк

V. Yu. Dub, Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan

В. Ю. Дуб

V. V. Malovichko, Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan

В. В. Маловичко

Downloads

Published

2010-02-25

How to Cite

Havryliuk, V. I., Dub, V. Y., & Malovichko, V. V. (2010). Application of neural network technology to diagnose DC turnouts. Science and Transport Progress, (31), 209–213. https://doi.org/10.15802/stp2010/13515

Issue

No. 31 (2010): ISSUE 31

Section

AUTOMATED AND TELEMATIC SYSTEMS ON TRANSPORT

License

Copyright and Licensing

This journal provides open access to all of its content.
As such, copyright for articles published in this journal is retained by the authors, under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). The CC BY license permits commercial and non-commercial reuse. Such access is associated with increased readership and increased citation of an author's work. For more information on this approach, see the Public Knowledge Project, the Directory of Open Access Journals, or the Budapest Open Access Initiative.

The CC BY 4.0 license allows users to copy, distribute and adapt the work in any way, provided that they properly point to the author. Therefore, the editorial board of the journal does not prevent from placing published materials in third-party repositories. In order to protect manuscripts from misappropriation by unscrupulous authors, reference should be made to the original version of the work.