• DocumentCode
    2648605
  • Title

    Development of possibility distributions for fatigue lifetime data analysis

  • Author

    He, Liping ; Huang, Hong-Zhong ; Pang, Yu ; Liu, Yu ; Wang, Zhonglai

  • Author_Institution
    Sch. Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2011
  • fDate
    17-19 June 2011
  • Firstpage
    356
  • Lastpage
    360
  • Abstract
    When there is limited objective reliability data, a new method of developing the possibility distribution by subjective assignment strategy is put forward, which makes use of the concept of interval-valued possibilistic mean value of a L-R fuzzy number and is then illustrated by the lifetime data from flexural fatigue reliability modeling and data analysis. An application of four groups´ gear-tooth flexural fatigue lifetime data of the 42CrMo steel specimens under various stress levels and sample sizes is presented to illustrate the inferring procedure of possibility distributions. The verification results of 6 and 8 samples between actual lifetime distributions and experimental ones, in comparison with the function termed mid-rank and three-parameter Weibull (3-PWD), show that the proposed approach is available and valid.
  • Keywords
    Weibull distribution; bending strength; data analysis; fatigue; fuzzy set theory; reliability; steel; L-R fuzzy number; data analysis; fatigue lifetime; flexural fatigue reliability; gear-tooth; interval-valued possibilistic mean value; possibility distributions; steel specimens; three-parameter Weibull; Distribution functions; Fatigue; Probabilistic logic; Reliability; Steel; Stress; Testing; fatigue lifetime analysis; imcomplete data; possibility distributions; possibilstic mean value;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2011 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4577-1229-6
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2011.5976630
  • Filename
    5976630