• DocumentCode
    825473
  • Title

    Origins, properties, and parameters estimation of the hyperbolic reliability model

  • Author

    Erto, Pasquale ; Palumbo, Biagio

  • Author_Institution
    Dept. of Aeronaut. Eng., Univ. of Naples "Federico II", Italy
  • Volume
    54
  • Issue
    2
  • fYear
    2005
  • fDate
    6/1/2005 12:00:00 AM
  • Firstpage
    276
  • Lastpage
    281
  • Abstract
    This paper deals with a new reliability model for nonrepairable systems, the Hyperbolic. A decreasing hazard rate approaching a value greater than zero is its distinctive characteristic. Potentially, many mechanisms of failure can produce mortality laws of Hyperbolic type. The "Deterioration", "Stress-Strength", and "Shocks" failure models discussed here are such models. To make the use of the Hyperbolic model easier, the maximum likelihood estimators of its parameters are given. They can be calculated without any difficulty, and appear to be acceptable for practical technological applications. Finally, two applicative examples are given. These examples exhibit that when the mechanism of failure is one of the types discussed, the Hyperbolic model shows a better fit compared with other alternative reliability models, like Gamma, and Weibull.
  • Keywords
    failure analysis; maximum likelihood estimation; parameter estimation; reliability theory; Weibull distribution; deterioration; failure mechanism; hyperbolic reliability; maximum likelihood estimator; parameters estimation; stress-strength; Distribution functions; Electric breakdown; Electric shock; Hazards; Least squares methods; Life estimation; Maximum likelihood estimation; Parameter estimation; Probability density function; Random variables; Failure mechanism; hazard rate; increasing mean residual life; maximum likelihood estimator; model identification;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2005.847267
  • Filename
    1435720