• DocumentCode
    3589837
  • Title

    Reliability assessment of multiple NC machine tools based on three-parameter Weibull Process model

  • Author

    Lina Ren ; Jianhua Li ; Xianzhi Wang ; Chunli Lei

  • Author_Institution
    Sch. of Mech. & Electron. Eng., Lanzhou Univ. of Technol., Lanzhou, China
  • fYear
    2014
  • Firstpage
    628
  • Lastpage
    631
  • Abstract
    In order to accurately evaluate the reliability of multiple NC machine tools, a method on reliability assessment of NC machine tools based on three-parameter Weibull Process model is proposed. The calculating formula for the optimal maximum likelihood point estimation of model parameters and reliability index are all derived, a mathematical model for solving the model parameters with an optimal method is given, and the model parameters are solved by using the immune clonai selection algorithm. An example of real failure data from multiple NC machine tools is taken to prove the proposed method, the result of goodness-of-fit show that the fitting accuracy of the model is high and it is suitable to describe the failure process of NC machine tools.
  • Keywords
    Weibull distribution; machine tools; maximum likelihood estimation; numerical control; reliability; failure process; immune clonal selection algorithm; multiple NC machine tools; optimal maximum likelihood point estimation; reliability assessment; three-parameter Weibull process model; Algorithm design and analysis; Analytical models; Computer numerical control; Mathematical model; Maximum likelihood estimation; Reliability engineering; MLE; NC machine Tools; Three-parameter Weibull process; immune clonal selection algorithm; reliability assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Maintainability and Safety (ICRMS), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6631-8
  • Type

    conf

  • DOI
    10.1109/ICRMS.2014.7107272
  • Filename
    7107272