• DocumentCode
    562482
  • Title

    Vehicle diagnostics based on decision trees

  • Author

    Gofman, Yevgeniy

  • Author_Institution
    Zaporizhzhya Nat. Tech. Univ., Zaporizhzhya, Ukraine
  • fYear
    2012
  • fDate
    21-24 Feb. 2012
  • Firstpage
    467
  • Lastpage
    467
  • Abstract
    In this article the method of diagnosing of T-150 model car lanos is designed for enterprise CJSC “ZAZ”. This method is implemented to improve the quality of the process of diagnostics and increasing the rate of automation in the enterprise as a whole.
  • Keywords
    automobile manufacture; decision trees; fault diagnosis; product quality; CJSC ZAZ enterprise; T-150 model car lanos; decision trees; enterprise automation; process quality; vehicle diagnostics; Analytical models; Lead; Measurement uncertainty; Predictive models; auto body; decision trees; diagnostics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modern Problems of Radio Engineering Telecommunications and Computer Science (TCSET), 2012 International Conference on
  • Conference_Location
    Lviv-Slavske
  • Print_ISBN
    978-1-4673-0283-8
  • Type

    conf

  • Filename
    6192712
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=562482