• Media type: E-Article
  • Title: Monitoring of reliability indicators of traction rolling stock
  • Contributor: Shutov, D. S.; Mayakov, D. M.; Nikolashin, M. V.
  • imprint: Ural State University of Railway Transport (USURT), 2022
  • Published in: Herald of the Ural State University of Railway Transport
  • Language: Not determined
  • DOI: 10.20291/2079-0392-2022-2-53-62
  • ISSN: 2079-0392
  • Keywords: General Medicine
  • Origination:
  • Footnote:
  • Description: <jats:p>Statistical methods for calculating reliability indicators are analyzed, which allow obtaining reliable results of calculating the reliability indicators of traction rolling stock (TRS). Since the information about the technical condition of the object is contained in the controlled parameters themselves, the following statistical methods for calculating reliability indicators are considered and presented in this study: parametric (the type of distribution law of the controlled parameter is known or it can be determined), nonparametric (the type of distribution law of the parameter is unknown). When considering the parametric method of calculating reliability indicators, the calculation of indicators based on a sample of a controlled parameter and the operating time of objects before their failure during storage or operation is analyzed. When considering the non-parametric method, the calculation of the operating time of objects before the failure is analyzed. Uninterrupted operation of the TRS on the line is possible with its technically sound condition, when all controlled parameters are within the permissible values specified in the regulatory and technical documentation. Such a study allows to prevent the TRS failure occurrence by predicting the magnitude of the parameters to be monitored, which increases the overall level of ensuring the safety of its movement. Recommendations are given on application of the proposed methods in carrying out activities related to the assessment of the TRS technical condition during its repair.</jats:p>
  • Access State: Open Access