• DocumentCode
    2792798
  • Title

    Research on fuzzy random reliability based on wear Prediction model

  • Author

    Zhang, Yunfeng ; Liu, Yang ; Liu, Weidong

  • Author_Institution
    Traffic & Mech. Eng. Sch., Shenyang Jianzhu Univ., Shenyang, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    601
  • Lastpage
    604
  • Abstract
    The four main factors that influence the metal wear performance are determined. Wear Prediction model is developed based on partial least-squares regression method including the four parameters. The fuzzy and random characteristic of metal wear is analysed and the method of the prediction of fuzzy random reliability of metal wear is carried out according to the wear prediction model. The modal is generally used when the materials and working conditions are similar, and the wear reliability can be predicted if the distribution of the influencing factors are given.
  • Keywords
    metals; prediction theory; regression analysis; reliability; wear; fuzzy random reliability; metal wear performance; partial least-squares regression method; wear prediction model; Gaussian distribution; Mathematical model; Metals; Predictive models; Reliability theory; Solid modeling; Fuzzy Random Reliability; Wear prediction; partial least-squares regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5986996
  • Filename
    5986996