• DocumentCode
    3475631
  • Title

    The Explicit Hazard Model- part 2: Applications

  • Author

    Gorjian, Nima ; Mittinty, Murthy ; Ma, Lin ; Yarlagadda, Prasad ; Sun, Yong

  • Author_Institution
    Cooperative Res. Centre for Integrated Eng. Asset Manage. (CIEAM), Brisbane, QLD, Australia
  • fYear
    2010
  • fDate
    12-14 Jan. 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Hazard and reliability prediction of an engineering asset is one of the significant fields of research in engineering asset health management (EAHM). In real-life situations where an engineering asset operates under dynamic operational and environmental conditions, the lifetime of an engineering asset can be influenced and/or indicated by different factors that are termed as covariates. The explicit hazard model (EHM) as a covariate-based hazard model is a new approach for hazard prediction which explicitly incorporates both internal and external covariates into one model. EHM is an appropriate model to use in the analysis of lifetime data in presence of both internal and external covariates in the reliability field. This paper presents applications of the methodology which is introduced and illustrated in the theory part of this study. In this paper, the semi-parametric EHM is applied to a case study so as to predict the hazard and reliability of resistance elements on a resistance corrosion sensor board (RCSB).
  • Keywords
    condition monitoring; covariance analysis; environmental factors; hazards; reliability; covariate-based hazard model; dynamic operational condition; engineering asset health management; environmental condition; explicit hazard model; hazard prediction; lifetime data analysis; reliability prediction; resistance corrosion sensor board; resistance element; Aging; Asset management; Atmospheric modeling; Australia; Corrosion; Data analysis; Degradation; Hazards; Predictive models; Reliability engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and Health Management Conference, 2010. PHM '10.
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-4244-4756-5
  • Electronic_ISBN
    978-1-4244-4758-9
  • Type

    conf

  • DOI
    10.1109/PHM.2010.5413493
  • Filename
    5413493