Statistical analysis of locomotives traction motors performance

In this article the authors quoted results of traction motors speed performance variations statistical analysis and wage wheels bands diameters deviations according to operation data. The authors of this publication offered the method of determining the non-uniformities of current distribution in th...

Full description

Bibliographic Details
Main Authors: Gorobchenko Oleksander, Tkachenko Victor
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2019/36/matecconf_pt2019_04002.pdf
id doaj-41ca2142c10443209361dfdb5062d186
record_format Article
spelling doaj-41ca2142c10443209361dfdb5062d1862021-02-02T01:47:06ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012870400210.1051/matecconf/201928704002matecconf_pt2019_04002Statistical analysis of locomotives traction motors performanceGorobchenko OleksanderTkachenko VictorIn this article the authors quoted results of traction motors speed performance variations statistical analysis and wage wheels bands diameters deviations according to operation data. The authors of this publication offered the method of determining the non-uniformities of current distribution in the power circuit of the locomotive, based on probabilistic approach, and also performed its comparison with classic computation approach. The next statistical performance of the continuous current locomotives traction drive is as follows: mathematical expectation of the motors magnetic flux; mean square deviation of magnetic flux; statistical dispersion and average square deviation of wage wheels bands diameters. With help of the received data it became possible to improve determination of non-uniformities currents deviations on traction motors during loading of the electric locomotives.https://www.matec-conferences.org/articles/matecconf/pdf/2019/36/matecconf_pt2019_04002.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Gorobchenko Oleksander
Tkachenko Victor
spellingShingle Gorobchenko Oleksander
Tkachenko Victor
Statistical analysis of locomotives traction motors performance
MATEC Web of Conferences
author_facet Gorobchenko Oleksander
Tkachenko Victor
author_sort Gorobchenko Oleksander
title Statistical analysis of locomotives traction motors performance
title_short Statistical analysis of locomotives traction motors performance
title_full Statistical analysis of locomotives traction motors performance
title_fullStr Statistical analysis of locomotives traction motors performance
title_full_unstemmed Statistical analysis of locomotives traction motors performance
title_sort statistical analysis of locomotives traction motors performance
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2019-01-01
description In this article the authors quoted results of traction motors speed performance variations statistical analysis and wage wheels bands diameters deviations according to operation data. The authors of this publication offered the method of determining the non-uniformities of current distribution in the power circuit of the locomotive, based on probabilistic approach, and also performed its comparison with classic computation approach. The next statistical performance of the continuous current locomotives traction drive is as follows: mathematical expectation of the motors magnetic flux; mean square deviation of magnetic flux; statistical dispersion and average square deviation of wage wheels bands diameters. With help of the received data it became possible to improve determination of non-uniformities currents deviations on traction motors during loading of the electric locomotives.
url https://www.matec-conferences.org/articles/matecconf/pdf/2019/36/matecconf_pt2019_04002.pdf
work_keys_str_mv AT gorobchenkooleksander statisticalanalysisoflocomotivestractionmotorsperformance
AT tkachenkovictor statisticalanalysisoflocomotivestractionmotorsperformance
_version_ 1724311064431034368