• DocumentCode
    633012
  • Title

    Principal Component Analysis of fatigue strength

  • Author

    Seric, Ljiljana ; Korun Curic, K. ; Susnjar, M.

  • Author_Institution
    Dept. for Modelling & Intell. Syst., Univ. of Split, Split, Croatia
  • fYear
    2013
  • fDate
    20-24 May 2013
  • Firstpage
    1073
  • Lastpage
    1078
  • Abstract
    In this paper authors examine the possibility of using modeling technique based on Principal Component Analysis (PCA) on fatigue strength modeling of selected specimens of steel. The PCA technique will be used for data analysis and model development with goal of identification of variables with most influence on fatigue strength. The model is trained upon data available in literature and application of described model is tested on series of laboratory experiments.
  • Keywords
    fatigue; principal component analysis; steel; PCA; data analysis; fatigue strength; model development; principal component analysis; steel; Data models; Fatigue; Materials; Predictive models; Principal component analysis; Stress; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information & Communication Technology Electronics & Microelectronics (MIPRO), 2013 36th International Convention on
  • Conference_Location
    Opatija
  • Print_ISBN
    978-953-233-076-2
  • Type

    conf

  • Filename
    6596416