• DocumentCode
    749933
  • Title

    A new model for repairable systems with bounded failure intensity

  • Author

    Attardi, L. ; Pulcini, G.

  • Author_Institution
    Dept. of Aeronaut. Eng., Univ. Federico of Naples, Italy
  • Volume
    54
  • Issue
    4
  • fYear
    2005
  • Firstpage
    572
  • Lastpage
    582
  • Abstract
    This paper proposes a new model, called the 2-parameter Engelhardt-Bain process (2-EBP) model, to describe the failure pattern of complex repairable systems subjected to reliability deterioration with the operating time, and showing a finite bound for the intensity function. The characteristics of the 2-EBP model are discussed, and the physical meaning of its parameters is derived. The 2-EBP model can be viewed as a dynamic power law process, whose shape parameter ranges from 2 to 1 as the system age increases, converging asymptotically to the homogeneous Poisson process. Maximum likelihood estimates of model parameters & other quantities of interest, as well as a testing procedure (based on the likelihood ratio statistic) for time trend, are provided. Numerical applications are given to illustrate the 2-EBP model & the related inferential procedures, and to emphasize on the caution to use in assuming the (very often used) power law process when the presence of a finite bound for the failure intensity is conjecturable.
  • Keywords
    failure analysis; maintenance engineering; maximum likelihood estimation; numerical analysis; reliability theory; stochastic processes; 2-parameter Engelhardt-Bain process; bounded failure intensity; bounded intensity function; failure pattern; homogeneous Poisson process; likelihood ratio statistic; maximum likelihood estimate; numerical analysis; optimal maintenance interval; power law process; reliability deterioration; repairable system; Aerodynamics; Cost function; Data analysis; Failure analysis; Mathematical model; Maximum likelihood estimation; Parameter estimation; Power system modeling; Power system reliability; Shape; Bounded intensity function; maximum likelihood estimate; optimal maintenance interval; reliability deterioration; repairable systems;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2005.858465
  • Filename
    1546564