Modeling of Age-Dependent Failure Tendency from Incomplete Data

  • P. Hagmark
  • J. LaitinenEmail author
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


This paper addresses modeling of age-dependent failure rates from incomplete data that includes interval-censored failure ages. Two estimators for cumulative failure rates are presented: a simple non-parametric estimator and a maximum-likelihood method based on the gamma distribution and the non-homogeneous Poisson process. The maximum-likelihood fit of familiar parametric models (e.g., the power law) to the available field data from an aircraft component was far from satisfactory, so a special three-parameter model function had to be worked out. The maximum-likelihood estimate obtained is then used for repeated random generation of different data sets akin to the field data. This way the effect of data set size, censoring rate, and randomness on the non-parametric estimate can be analyzed to get practical appraisals.


Failure Data Failure Tendency Service Sojourn Bouquet Format Cumulative Failure Rate 
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Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  1. 1.Department of Mechanics and DesignTampere University of TechnologyTampereFinland

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